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Event

AI Dev Day - New York

2023-08-23 – 2023-08-23 Meetup Visit website ↗

Activities tracked

4

Pre-registration is required for admission: https://www.aicamp.ai/event/eventdetails/W2023082314 (Venue security may not let you in if you don't pre-register at the link above)

Description: Join us for a power-packed night of learning, sharing, and networking at AI Dev Day - Toronto. We are excited to bring the AI developer community together to learn and discuss the latest trends, practical experiences, and best practices in the field of AI, LLMs, generative AI, and machine learning.

In addition to the tech talks, there will be plenty of opportunities to network with AI developers, live demos, AI community showcases, panel discussion, and career opportunities.

Agenda (EDT): - 4:30pm\~5:30pm: Checkin\, food/drink and networking - 5:30pm\~7:30pm: keynotes\, tech talks\, and panel - 7:30pm: open discussion\, mixer

Topics/Speakers:

  • Working with LLMs at Scale, by Yujian Tang @Zilliz
  • From Generic To Genius: Personalize Generative AI, by Mary Grygleski @Kaskada/DataStax
  • Towards Effective LLM Observability, by Sally-Ann Delucia @Arize AI
  • Data-in-Motion to Supercharge AI, by Timothy Spann @Cloudera
  • Stay tuned for more topics update.

If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:

  • Zilliz
  • DataStax
  • Arize AI

We are actively seeking sponsors to support our AI developers community. Sponsors will receive speaking opportunities, sponsor recognition, and post-event emails to our vast membership base of 20k+ in New York or 250K+ developers in global. Contact us for details.

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 #nyc channel)

Community Partners: Contact us if you are interested in partnership.

Sessions & talks

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Data-in-Motion to Supercharge AI

2023-08-23
talk

From Generic To Genius: Personalize Generative AI

2023-08-23
talk

Towards Effective LLM Observability

2023-08-23
talk
LLM

Working with LLMs at Scale

2023-08-23
talk
LLM