talk-data.com talk-data.com

Filter by Source

Select conferences and events

People (289 results)

See all 289 →
Showing 14 results

Activities & events

Title & Speakers Event

Deep Research architectures have become increasingly popular over the past three months as users want more complex tasks to be handled by LLMs. The LastMile AI team has gone through a journey to understand what core components are needed for a Deep Research Agent and what qualities enable it to be ready for production. We'll be sharing the core architecture for a Deep Research Agent and how these components influence the behavior of the agent.

About the speaker Andrew Hoh is a co-founder and the CPO of LastMile AI. Previously, he was a Product Leader at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database.

Resources Check out this recent post on the AI Alliance blog: Building a Deep Research Agent Using MCP-Agent

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Join the community Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord.

[AI Alliance] Building a Deep Research Agent Using MCP-Agent

Deep Research architectures have become increasingly popular over the past three months as users want more complex tasks to be handled by LLMs. The LastMile AI team has gone through a journey to understand what core components are needed for a Deep Research Agent and what qualities enable it to be ready for production. We'll be sharing the core architecture for a Deep Research Agent and how these components influence the behavior of the agent.

About the speaker Andrew Hoh is a co-founder and the CPO of LastMile AI. Previously, he was a Product Leader at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database.

Resources Check out this recent post on the AI Alliance blog: Building a Deep Research Agent Using MCP-Agent

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Join the community Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord.

[AI Alliance] Building a Deep Research Agent Using MCP-Agent

Deep Research architectures have become increasingly popular over the past three months as users want more complex tasks to be handled by LLMs. The LastMile AI team has gone through a journey to understand what core components are needed for a Deep Research Agent and what qualities enable it to be ready for production. We'll be sharing the core architecture for a Deep Research Agent and how these components influence the behavior of the agent.

About the speaker Andrew Hoh is a co-founder and the CPO of LastMile AI. Previously, he was a Product Leader at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database.

Resources Check out this recent post on the AI Alliance blog: Building a Deep Research Agent Using MCP-Agent

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Join the community Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord.

[AI Alliance] Building a Deep Research Agent Using MCP-Agent

Deep Research architectures have become increasingly popular over the past three months as users want more complex tasks to be handled by LLMs. The LastMile AI team has gone through a journey to understand what core components are needed for a Deep Research Agent and what qualities enable it to be ready for production. We'll be sharing the core architecture for a Deep Research Agent and how these components influence the behavior of the agent.

About the speaker Andrew Hoh is a co-founder and the CPO of LastMile AI. Previously, he was a Product Leader at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database.

Resources Check out this recent post on the AI Alliance blog: Building a Deep Research Agent Using MCP-Agent

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Join the community Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord.

[AI Alliance] Building a Deep Research Agent Using MCP-Agent

Deep Research architectures have become increasingly popular over the past three months as users want more complex tasks to be handled by LLMs. The LastMile AI team has gone through a journey to understand what core components are needed for a Deep Research Agent and what qualities enable it to be ready for production. We'll be sharing the core architecture for a Deep Research Agent and how these components influence the behavior of the agent.

About the speaker Andrew Hoh is a co-founder and the CPO of LastMile AI. Previously, he was a Product Leader at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database.

Resources Check out this recent post on the AI Alliance blog: Building a Deep Research Agent Using MCP-Agent

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Join the community Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord.

[AI Alliance] Building a Deep Research Agent Using MCP-Agent

Deep Research architectures have become increasingly popular over the past three months as users want more complex tasks to be handled by LLMs. The LastMile AI team has gone through a journey to understand what core components are needed for a Deep Research Agent and what qualities enable it to be ready for production. We'll be sharing the core architecture for a Deep Research Agent and how these components influence the behavior of the agent.

About the speaker Andrew Hoh is a co-founder and the CPO of LastMile AI. Previously, he was a Product Leader at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database.

Resources Check out this recent post on the AI Alliance blog: Building a Deep Research Agent Using MCP-Agent

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Join the community Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord.

[AI Alliance] Building a Deep Research Agent Using MCP-Agent

Deep Research architectures have become increasingly popular over the past three months as users want more complex tasks to be handled by LLMs. The LastMile AI team has gone through a journey to understand what core components are needed for a Deep Research Agent and what qualities enable it to be ready for production. We'll be sharing the core architecture for a Deep Research Agent and how these components influence the behavior of the agent.

About the speaker Andrew Hoh is a co-founder and the CPO of LastMile AI. Previously, he was a Product Leader at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database.

Resources Check out this recent post on the AI Alliance blog: Building a Deep Research Agent Using MCP-Agent

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Join the community Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord.

[AI Alliance] Building a Deep Research Agent Using MCP-Agent

Join PyData NYC at 1177 Avenue of Americas (IBM) on Mar 13th 6:30 PM for a workshop night with Andrew Hoh (Chief Product Officer at LastMile AI) and Nick Lourie (PhD Student at NYU).

🍕 Pizza and drinks sponsored by LastMile AI! Thank you.

Agenda: Building LLM Applications in Production : 45 mins Speaker: Andrew Hoh Andrew Hoh is the President and Co-Founder of LastMile AI. Previously, he was a Group PM Manager at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database. He graduated with a BA in Computer Science from Dartmouth College.

But, Did You Tune the Hyperparameters Enough? : 30 mins Speaker: Nick Lourie Imagine you're working on a neural net. You come up with a great idea! Maybe the model learns better if trained on the shortest examples first. So, you order the examples, feed them to the model, evaluate it, and find... the performance got worse! Is the idea bad? Or, did you just need to tune the learning rate? Optimal design analysis (OPDA) answers these questions in a statistically rigorous way, so you can spend more time trying out exciting new ideas and less time guessing whether they actually work.

Networking: 30 mins Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations.

---------------------------------------------------------------- RSVP is required, please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on Mar 11 Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by IBM: 1177 Ave of Americas ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-levels event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/ This event may be recorded.

LLM & Deep Learning Tutorials, sponsored by LastMile AI 🤖

Join PyData NYC virtually on Mar 13th 6:30 PM for a workshop night with Andrew Hoh (Chief Product Officer at LastMile AI) and Nick Lourie (PhD Student at NYU).

Agenda: Building LLM Applications in Production : 45 mins Speaker: Andrew Hoh Andrew Hoh is the President and Co-Founder of LastMile AI. Previously, he was a Group PM Manager at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database. He graduated with a BA in Computer Science from Dartmouth College.

But, Did You Tune the Hyperparameters Enough? : 30 mins Speaker: Nick Lourie Imagine you're working on a neural net. You come up with a great idea! Maybe the model learns better if trained on the shortest examples first. So, you order the examples, feed them to the model, evaluate it, and find... the performance got worse! Is the idea bad? Or, did you just need to tune the learning rate? Optimal design analysis (OPDA) answers these questions in a statistically rigorous way, so you can spend more time trying out exciting new ideas and less time guessing whether they actually work. ----------------------------------------------------------------

Join from the webinar link https://ibm.webex.com/ibm/j.php?MTID=m248e6291a85272f6bb85537f3da772a9

Join by the webinar number Webinar number (access code): 146 117 4217 Webinar password: n6rYWWfBM39 (66799932 from phones and video systems)

Tap to join from a mobile device (attendees only) 1-844-531-0958,,1461174217#66799932# United States Toll Free +1-669-234-1178,,1461174217#66799932# United States Toll Some mobile devices may ask attendees to enter a numeric password.

Join by phone 1-844-531-0958 United States Toll Free 1-669-234-1178 United States Toll

---------------------------------------------------------------- This, and all PyData NYC events, is an all-levels event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/ This event may be recorded.

(Livestream) LLM & Deep Learning Tutorials, sponsored by LastMile AI 🤖

NYC Python will be joining PyData NYC at 1177 Avenue of Americas (IBM) on Mar 13th 6:30 PM for a workshop night with Andrew Hoh (Chief Product Officer at LastMile AI) and Nick Lourie (PhD Student at NYU).

⚠️Please RSVP with PyData NYC here: https://www.meetup.com/pydatanyc/events/299507856/

🍕 Pizza and drinks sponsored by LastMile AI! Thank you! Agenda: Building LLM Applications in Production : 45 mins Speaker: Andrew Hoh Andrew Hoh is the President and Co-Founder of LastMile AI. Previously, he was a Group PM Manager at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database. He graduated with a BA in Computer Science from Dartmouth College. Empirical Methods for Deep Learning: 30 mins Speaker: Nick Lourie Imagine you're working on a neural net. You come up with a great idea! Maybe the model learns better if trained on the shortest examples first. So, you order the examples, feed them to the model, evaluate it, and find... the performance got worse! Is the idea bad? Or, did you just need to tune the learning rate? Optimal design analysis (OPDA) combines an empirical theory of deep learning with statistical analyses to answer these questions. Networking: 30 mins Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- RSVP is required, please note that walk-ins will not be accepted. Note: Per building policy, RSVPs will close at 12 pm on Mar 11 Doors @ 6 pm Event @ 6:30 - 8:30 pm Venue provided by IBM: 1177 Ave of Americas ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all NYC Python and PyData NYC events, is an all-levels event. Newcomers and beginners are welcome. This, and all NumFOCUS-affiliated events and spaces, both in-person and online are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/ This event may be recorded.

PyData NYC: LLM & Deep Learning Tutorials, sponsored by LastMile AI 🤖
Build It With AI: Andrew Hoh 2024-03-05 · 18:00
Andrew Hoh – Founder @ LastMile AI

Conversation with Andrew Hoh, a long-time product leader at Microsoft, Facebook, and Airbnb, now founder of LastMile AI. Discusses his transition to founding LastMile AI and building a GenAI platform, including features like prompt management, editors, model routing, source control, and evaluation.

genai azure ai openai
Enabling developers with Generative AI prototyping and delivering

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023101709

Description: Welcome to the weekly AI/ML/Data virtual hands-on workshops. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

This workshop is in collaboration with LastMile AI. All participants who complete the workshop will receive a Certificate of Completion.

Building Generative AI workflows Speaker/Instructor: Andrew Hoh @LastMile AI Outline: Embrace the power of Generative AI and learn how to build Gen AI workflows with LastMile AI. This workshop will teach you the latest Gen AI technologies and provide you with the tools & skills to build your own AI powered workflows. We will explore how the landscape of AI has changed and discover how the technology will impact across a wide array of industries. During this hands-on workshop, you will build your own applications against generative text, audio, and/or image models.

What you will learn: - Generative Text\, Audio\, and Image models. - Basic and advanced Prompting (in-context learning\, zero shot\, few shot prompting\, etc.). - How to design and deploy a Generative AI workflow.

Prerequisite: General coding experience. ML experience not required.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #virtualevents channel)

Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA

AI Workshop (Virtual): Building Generative AI workflows

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023101709

Description: Welcome to the weekly AI/ML/Data virtual hands-on workshops. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

This workshop is in collaboration with LastMile AI. All participants who complete the workshop will receive a Certificate of Completion.

Building Generative AI workflows Speaker/Instructor: Andrew Hoh @LastMile AI Outline: Embrace the power of Generative AI and learn how to build Gen AI workflows with LastMile AI. This workshop will teach you the latest Gen AI technologies and provide you with the tools & skills to build your own AI powered workflows. We will explore how the landscape of AI has changed and discover how the technology will impact across a wide array of industries. During this hands-on workshop, you will build your own applications against generative text, audio, and/or image models.

What you will learn: - Generative Text\, Audio\, and Image models. - Basic and advanced Prompting (in-context learning\, zero shot\, few shot prompting\, etc.). - How to design and deploy a Generative AI workflow.

Prerequisite: General coding experience. ML experience not required.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #virtualevents channel)

Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA

AI Workshop (Virtual): Building Generative AI workflows

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023101709

Description: Welcome to the weekly AI/ML/Data virtual hands-on workshops. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

This workshop is in collaboration with LastMile AI. All participants who complete the workshop will receive a Certificate of Completion.

Building Generative AI workflows Speaker/Instructor: Andrew Hoh @LastMile AI Outline: Embrace the power of Generative AI and learn how to build Gen AI workflows with LastMile AI. This workshop will teach you the latest Gen AI technologies and provide you with the tools & skills to build your own AI powered workflows. We will explore how the landscape of AI has changed and discover how the technology will impact across a wide array of industries. During this hands-on workshop, you will build your own applications against generative text, audio, and/or image models.

What you will learn: - Generative Text\, Audio\, and Image models. - Basic and advanced Prompting (in-context learning\, zero shot\, few shot prompting\, etc.). - How to design and deploy a Generative AI workflow.

Prerequisite: General coding experience. ML experience not required.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #virtualevents channel)

Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA

AI Workshop (Virtual): Building Generative AI workflows
Showing 14 results