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Event

AI Meetup: End of Year Celebration for AI, GenAI, LLMs and ML

2023-12-14 – 2023-12-15 Meetup Visit website ↗

Activities tracked

2

Pre-registration is required: https://www.aicamp.ai/event/eventdetails/W2023121414 ***

As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throw the most exciting holiday bash for people who build AI!

Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year, with tech talks, food, and drinks.

Agenda: * 5:00pm\~5:45pm: Checkin, Food/drink and networking * 5:45pm\~6:00pm: Welcome/community update * 6:00pm\~7:30pm: Tech talks, Q&A and Community showcase * 7:30pm\~8:00pm: Open discussion and Mixer

Tech Talk 1: RAG in the new Azure AI Studio Speaker: Elijah Straight @Microsoft Abstract: Intro on RAG and demo how RAG functions in the new Azure AI Studio.

Tech Talk 2: The next level of RAG applications - building multimodal applications with Vector Databases Speaker: Byron Voorbach @Weaviate Abstract: In this talk, we are going to explore how vector databases like Weaviate can be used to build the next level of RAG applications. Based on examples we are looking at the possibilities of RAG architectures that can handle multimodal context like images, videos and much more and how vector databases work in such a setting

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

Startup Showcase: We have 5\~10 demo desks available for the community showcases and \~5 minutes quick demo on the stage. You are invited to apply here Community Showcase

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RAG in the new Azure AI Studio

2023-12-14
talk

Intro on RAG and demo how RAG functions in the new Azure AI Studio.

The next level of RAG applications - building multimodal applications with Vector Databases

2023-12-14
talk

In this talk, we are going to explore how vector databases like Weaviate can be used to build the next level of RAG applications. Based on examples we are looking at the possibilities of RAG architectures that can handle multimodal context like images, videos and much more and how vector databases work in such a setting