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Title & Speakers	Event
WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00 To access this webinar, please register here: https://hubs.li/Q02J2FjR0 Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing" Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"
WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00 To access this webinar, please register here: https://hubs.li/Q02J2FjR0 Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing" Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"
WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00 To access this webinar, please register here: https://hubs.li/Q02J2FjR0 Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing" Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"
WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00 To access this webinar, please register here: https://hubs.li/Q02J2FjR0 Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing" Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"
WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00 To access this webinar, please register here: https://hubs.li/Q02J2FjR0 Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing" Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"
WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00 To access this webinar, please register here: https://hubs.li/Q02J2FjR0 Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing" Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"
WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00 To access this webinar, please register here: https://hubs.li/Q02wMWSB0 Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale. Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"
WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00 To access this webinar, please register here: https://hubs.li/Q02wMWSB0 Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale. Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"
WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00 To access this webinar, please register here: https://hubs.li/Q02wMWSB0 Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale. Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"
WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00 To access this webinar, please register here: https://hubs.li/Q02wMWSB0 Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale. Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"
WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00 To access this webinar, please register here: https://hubs.li/Q02wMWSB0 Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale. Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"
WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00 To access this webinar, please register here: https://hubs.li/Q02wMWSB0 Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more. Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale. Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"
Customer Analytics At Scale With Segment 2019-03-04 · 17:00 Calvin French-Owen – CTO and co-founder @ Segment , Tobias Macey – host Summary Customer analytics is a problem domain that has given rise to its own industry. In order to gain a full understanding of what your users are doing and how best to serve them you may need to send data to multiple services, each with their own tracking code or APIs. To simplify this process and allow your non-engineering employees to gain access to the information they need to do their jobs Segment provides a single interface for capturing data and routing it to all of the places that you need it. In this interview Segment CTO and co-founder Calvin French-Owen explains how the company got started, how it manages to multiplex data streams from multiple sources to multiple destinations, and how it can simplify your work of gaining visibility into how your customers are engaging with your business. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. If you are tired of wasting your time cobbling together scripts and workarounds to give your developers, data scientists, and managers the permissions that they need then it’s time to talk to our friends at strongDM. They have built an easy to use platform that lets you leverage your company’s single sign on for your data platform. Go to dataengineeringpodcast.com/strongdm today to find out how you can simplify your systems. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your friends and co-workers You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with O’Reilly Media for the Strata conference in San Francisco on March 25th and the Artificial Intelligence conference in NYC on April 15th. Here in Boston, starting on May 17th, you still have time to grab a ticket to the Enterprise Data World, and from April 30th to May 3rd is the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Your host is Tobias Macey and today I’m interviewing Calvin French-Owen about the data platform that Segment has built to handle multiplexing continuous streams of data from multiple sources to multiple destinations Interview Introduction How did you get involved in the area of data management? Can you start by explaining what Segment is and how the business got started? What are some of the primary ways that your customers are using the Segment platform? How have the capabilities and use cases of the Segment platform changed since it was first launched? Layered on top of the data integration platform you have added the concepts of Protocols and Personas. Can you explain how each of those products fit into the over AI/ML Analytics API Big Data Data Engineering Data Management Data Science Data Streaming	Data Engineering Podcast Listen

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00

To access this webinar, please register here: https://hubs.li/Q02J2FjR0

Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing"

Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality

We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00

To access this webinar, please register here: https://hubs.li/Q02J2FjR0

Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing"

Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality

We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00

To access this webinar, please register here: https://hubs.li/Q02J2FjR0

Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing"

Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality

We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00

To access this webinar, please register here: https://hubs.li/Q02J2FjR0

Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing"

Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality

We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00

To access this webinar, please register here: https://hubs.li/Q02J2FjR0

Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing"

Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality

We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing" 2024-08-20 · 16:00

To access this webinar, please register here: https://hubs.li/Q02J2FjR0

Topic: "All AI Models Are Not Created Equal: and That’s a Good Thing"

Speaker: Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: - Compelling differences in model performance (e.g open source vs. closed\, model\, vs model) - The importance of a healthy\, competitive ecosystem in lowering costs and maximizing ROI - Why end users need to rely on a variety of customized models - How to optimize model selection based on price\, speed\, and quality

We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02zdcSk0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "All AI Models Are Not Created Equal: and That’s a Good Thing"

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00

To access this webinar, please register here: https://hubs.li/Q02wMWSB0

Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale.

Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00

To access this webinar, please register here: https://hubs.li/Q02wMWSB0

Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale.

Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00

To access this webinar, please register here: https://hubs.li/Q02wMWSB0

Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale.

Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00

To access this webinar, please register here: https://hubs.li/Q02wMWSB0

Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale.

Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00

To access this webinar, please register here: https://hubs.li/Q02wMWSB0

Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale.

Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions" 2024-05-29 · 16:00

To access this webinar, please register here: https://hubs.li/Q02wMWSB0

Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

Speaker: Ivan Lee, CEO of Datasaur Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Abstract: In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale.

Our session will guide attendees through innovative strategies to overcome these challenges, including: - Utilizing Small Language Models (SLMs) for efficiency - Employing LLM Distillation to reduce resource demands - Implementing prompt unit testing to maintain quality integrity

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"

Customer Analytics At Scale With Segment 2019-03-04 · 17:00

Calvin French-Owen – CTO and co-founder @ Segment , Tobias Macey – host

Summary Customer analytics is a problem domain that has given rise to its own industry. In order to gain a full understanding of what your users are doing and how best to serve them you may need to send data to multiple services, each with their own tracking code or APIs. To simplify this process and allow your non-engineering employees to gain access to the information they need to do their jobs Segment provides a single interface for capturing data and routing it to all of the places that you need it. In this interview Segment CTO and co-founder Calvin French-Owen explains how the company got started, how it manages to multiplex data streams from multiple sources to multiple destinations, and how it can simplify your work of gaining visibility into how your customers are engaging with your business.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show! Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. If you are tired of wasting your time cobbling together scripts and workarounds to give your developers, data scientists, and managers the permissions that they need then it’s time to talk to our friends at strongDM. They have built an easy to use platform that lets you leverage your company’s single sign on for your data platform. Go to dataengineeringpodcast.com/strongdm today to find out how you can simplify your systems. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. To help other people find the show please leave a review on iTunes and tell your friends and co-workers You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with O’Reilly Media for the Strata conference in San Francisco on March 25th and the Artificial Intelligence conference in NYC on April 15th. Here in Boston, starting on May 17th, you still have time to grab a ticket to the Enterprise Data World, and from April 30th to May 3rd is the Open Data Science Conference. Go to dataengineeringpodcast.com/conferences to learn more and take advantage of our partner discounts when you register. Your host is Tobias Macey and today I’m interviewing Calvin French-Owen about the data platform that Segment has built to handle multiplexing continuous streams of data from multiple sources to multiple destinations

Interview

Introduction How did you get involved in the area of data management? Can you start by explaining what Segment is and how the business got started?

What are some of the primary ways that your customers are using the Segment platform? How have the capabilities and use cases of the Segment platform changed since it was first launched?

Layered on top of the data integration platform you have added the concepts of Protocols and Personas. Can you explain how each of those products fit into the over

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