| |
|
EVENT DETAILS |
|
This is an in-person event! Registration is required to get in. Github will email you a form the day before the event, which you will need to complete for your access pass. Registration will close 2 days before the event.nTopic: Connecting your unstructured data with Generative LLMsnWhat well do: nHave some food & refreshments. Hear three exciting talks about unstructured data & generative AI.n5:30 - 6:00 - Welcome/Networking/Registrationn6:05 - 6:30 - Charles Packer & Sarah Wooders, Co-founders, MemGPT.ain6:35 - 7:00 - Christy Bergman, Dev Advocate, Zillizn7:05 - 7:30 - Amit Sangani, Senior Director Platform Engineering, Metan7:35 - 7:45 - Community demos - wordware.ain7:45 - 8:30 - NetworkingnWho Should attend:nAnyone interested in talking & learning about Unstructured Data & Generative AI Apps.nWhen:nMay 21, 2024n5:30PMnTech Talk 2: Introduction to Open Source RAG & RAG EvaluationnSpeaker: Christy BergmannAbstract: Youve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general Internet data used to train most foundation models. Join me for a demo on building an open source RAG (Retrieval Augmented Generation) stack using HuggingFace, Milvus vector database for Retrieval, LangChain, Ragas RAG Eval, & optional Zilliz cloud, Anthropic, OpenAI.nTech Talk 2: Introduction to Memory Augmented ChatnSpeakers: Charles Packer & Sarah WoodersnTech Talk 3: Llama 3 !!nSpeaker: TBAnWhere: nThis is an in-person event! Registration is required to get in. Registration will close 2 days before the event. Co-sponsored by Zilliz maintainers of Milvus.
|
|
|
|
|
|
