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Title & Speakers	Event
Event AI Meetup (March): Generative AI and Train ML Models For Responsible AI 2024-03-20
Train & Debug your ML Models For Responsible AI on Azure 2024-03-20 · 21:30 In this talk you will learn to train an AI model using the Azure Machine Learning Studio, then use its built-in Responsible AI Dashboard capability to debug your model for performance, fairness and responsible AI usage. azure machine learning studio responsible ai dashboard
End-to-End Development of Generative AI applications on Azure 2024-03-20 · 21:30 In this talk we’ll introduce the core concepts for building a “copilot” application on Azure AI from prompt engineering to LLM Ops – using the Contoso Chat application sample as a reference. And we’ll explore the Azure AI Studio (preview) platform from a code-first perspective to understand how you can streamline your development from model exploration to endpoint deployment, with a unified platform and workflow. azure ai studio llms prompt engineering

AI Meetup (March): Generative AI and Train ML Models For Responsible AI 2024-03-20 · 21:00 Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission) Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers. Tech Talk: End-to-End Development of Generative AI applications on Azure Speaker: Nitya Narasimhan (Microsoft) Abstract: In this talk we’ll introduce the core concepts for building a “copilot” application on Azure AI from prompt engineering to LLM Ops – using the Contoso Chat application sample as a reference. And we’ll explore the Azure AI Studio (preview) platform from a code-first perspective to understand how you can streamline your development from model exploration to endpoint deployment, with a unified platform and workflow. Tech Talk: Train & Debug your ML Models For Responsible AI on Azure Speaker: Ruth Yakubu (Microsoft) Abstract: In this talk you will learn to train an AI model using the Azure Machine Learning Studio, then use its built-in Responsible AI Dashboard capability to debug your model for performance, fairness and responsible AI usage. Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 300K+ worldwide. Community on Slack/Discord** Event chat: chat and connect with speakers and attendees Sharing blogs, events, job openings, projects collaborations Join Slack/Discord (scroll down to the bottom) *	AI Meetup (March): Generative AI and Train ML Models For Responsible AI

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission)

Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.

Tech Talk: End-to-End Development of Generative AI applications on Azure Speaker: Nitya Narasimhan (Microsoft) Abstract: In this talk we’ll introduce the core concepts for building a “copilot” application on Azure AI from prompt engineering to LLM Ops – using the Contoso Chat application sample as a reference. And we’ll explore the Azure AI Studio (preview) platform from a code-first perspective to understand how you can streamline your development from model exploration to endpoint deployment, with a unified platform and workflow.

Tech Talk: Train & Debug your ML Models For Responsible AI on Azure Speaker: Ruth Yakubu (Microsoft) Abstract: In this talk you will learn to train an AI model using the Azure Machine Learning Studio, then use its built-in Responsible AI Dashboard capability to debug your model for performance, fairness and responsible AI usage.

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 300K+ worldwide.

Community on Slack/Discord

Event chat: chat and connect with speakers and attendees
Sharing blogs, events, job openings, projects collaborations
Join Slack/Discord (scroll down to the bottom) *

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