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With Tengyu Ma (Founder, VoyageAI), James Luan (VP Engg, Zilliz), Laurie Voss (VP Dev Relations, LlamaIndex).
Tue, Apr 16, 2024 @ 05:30 PM   FREE   GitHub, 88 Colin P Kelly Jr St
 
   
 
 
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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 - 6:30 - Welcome/Networking/Registrationn6:35 - 7:00 - Tengyu Ma, Co-founder, VoyageAIn7:05 - 7:30 - James Luan, VP Engineering, Zillizn7:35 - 8:00 - Laurie Voss, VP Developer Relations, LlamaIndexn8:00 - 8:30 - NetworkingnWho Should attend:nAnyone interested in talking & learning about Unstructured Data & Generative AI Apps.nWhen:nApril 16, 2023n5:30PMnTech Talk 2: Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostnSpeaker: James LuannAbstract: If you are building a RAG application that serves millions of users, you should consider how to scale your system seamlessly & cost-efficiently. The Zilliz Serverless tier represents a significant innovation in the field of vector search, enabling you to rapidly scale to millions of tenants & billions of vectors, while fully leveraging the hot/cold characteristics across tenants to reduce data storage costs. It enables vector storage at costs comparable to S3 & facilitates vector search times in the hundreds of milliseconds for tens of millions of data points!nIn this talk, we will delve into the implementation details, usage patterns, & performance metrics of Zilliz Serverless. We will discuss how it empowers AI-native applications to achieve rapid business growth by providing a cost-effective & scalable vector storage & search solution.nTech Talk 3: Advanced Retrieval-Augmented Generation apps with LlamaIndexnSpeaker: Laurie VossnAbstract: Retrieval-Augmented Generation (RAG) is critical to LLM-powered applications & LlamaIndex is critical to getting up & running with RAG. This talk will start with the basics of how RAG works under the hood & show you how to build a basic RAG app, ending with advanced RAG techniques to get you into production.nWhere: 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.
 
 
 
 
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