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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"
Sponsor: Sigma Computing \| Using Sigma Input Tables Helps Databricks Data Science & ML Apps 2023-07-26 · 21:04 Mitch Ertle – Senior Partner Solutions Architect @ Sigma , Greg Owen In this talk, we will dive into the powerful analytics combination of Databricks and Sigma for data science and machine learning use cases. Databricks offers a scalable and flexible platform for building and deploying machine learning models at scale, while Sigma enhances this framework with real-time data insights, analysis, and visualization capabilities. Going a step further, we will demonstrate how input tables can be utilized from Sigma to create seamless workflows in Databricks for data science and machine learning. From this workflow, business users can leverage data science and ML models to do ad-hoc analysis and make data-driven decisions. This talk is perfect for data scientists, data analysts, business users, and anyone interested in harnessing the power of Databricks and Sigma to drive business value. Join us and discover how these two platforms can revolutionize the way you analyze and leverage your data. Talk by: Mitch Ertle and Greg Owen Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc AI/ML Analytics Data Science Databricks	Databricks DATA + AI Summit 2023 YouTube
AI The Future is Now \| Panel: Hex, GitHub Next, Jasper, Databricks, Insight Partners 2023-05-11 · 19:00 Barry McCardel – Co-founder and CEO @ Hex , George Mathew – Managing Director @ Insight Partners , Sean Owen – Principal Specialist for Data Science and ML @ Databricks , Gregory Larson – VP of Engineering @ Jasper , Idan Gazit – Senior Director of Research @ GitHub Next ABOUT THE TALK: A thoughtful discussion between AI heavyweights on what to expect in this present age of AI. The moderator will draw on their own personal experience and insight to serve up some awesome queries (#wired). ABOUT THE SPEAKERS: Gregory Larson is the VP of Engineering at Jasper. He joined the company to build out the organization and invest in making AI a part of every creative's workflow. In past positions Greg was the head of engineering at Divvy Pay and ObservePoint, and he led development and AI projects at Adobe, Jive/LogMeIn, and Microsoft. Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color Barry McCardel is the CEO and co-founder of Hex. In past positions Barry has worked at TrialSpark and Palantir Technologies. George Mathew is the Managing Director at Insight Partners focused on venture stage investments in AI, ML, Analytics, and Data companies as they are establishing product/market Fit. He brings 20+ years of experience developing high-growth technology startups including most recently being CEO of Kespry. Sean Owen is the Principal Specialist for Data Science and ML at Databricks. ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies. FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/ AI/ML Analytics Data Engineering Data Science DataViz Databricks GitHub Microsoft	Data Council 2023 YouTube

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"

Sponsor: Sigma Computing | Using Sigma Input Tables Helps Databricks Data Science & ML Apps 2023-07-26 · 21:04

Mitch Ertle – Senior Partner Solutions Architect @ Sigma , Greg Owen

In this talk, we will dive into the powerful analytics combination of Databricks and Sigma for data science and machine learning use cases. Databricks offers a scalable and flexible platform for building and deploying machine learning models at scale, while Sigma enhances this framework with real-time data insights, analysis, and visualization capabilities. Going a step further, we will demonstrate how input tables can be utilized from Sigma to create seamless workflows in Databricks for data science and machine learning. From this workflow, business users can leverage data science and ML models to do ad-hoc analysis and make data-driven decisions.

This talk is perfect for data scientists, data analysts, business users, and anyone interested in harnessing the power of Databricks and Sigma to drive business value. Join us and discover how these two platforms can revolutionize the way you analyze and leverage your data.

Talk by: Mitch Ertle and Greg Owen

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

AI/ML Analytics Data Science Databricks

Databricks DATA + AI Summit 2023

YouTube

AI The Future is Now | Panel: Hex, GitHub Next, Jasper, Databricks, Insight Partners 2023-05-11 · 19:00

Barry McCardel – Co-founder and CEO @ Hex , George Mathew – Managing Director @ Insight Partners , Sean Owen – Principal Specialist for Data Science and ML @ Databricks , Gregory Larson – VP of Engineering @ Jasper , Idan Gazit – Senior Director of Research @ GitHub Next

ABOUT THE TALK: A thoughtful discussion between AI heavyweights on what to expect in this present age of AI. The moderator will draw on their own personal experience and insight to serve up some awesome queries (#wired).

ABOUT THE SPEAKERS: Gregory Larson is the VP of Engineering at Jasper. He joined the company to build out the organization and invest in making AI a part of every creative's workflow.

In past positions Greg was the head of engineering at Divvy Pay and ObservePoint, and he led development and AI projects at Adobe, Jive/LogMeIn, and Microsoft.

Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color

Barry McCardel is the CEO and co-founder of Hex. In past positions Barry has worked at TrialSpark and Palantir Technologies.

George Mathew is the Managing Director at Insight Partners focused on venture stage investments in AI, ML, Analytics, and Data companies as they are establishing product/market Fit.

He brings 20+ years of experience developing high-growth technology startups including most recently being CEO of Kespry.

Sean Owen is the Principal Specialist for Data Science and ML at Databricks.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

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Data Council 2023

YouTube

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