Explore a conference talk on solving data problems in Large Language Model (LLM) applications. Discover how vector databases, particularly Milvus, are utilized in production environments to address major challenges in LLM app development. Learn about Zilliz's efforts to democratize vector databases through education, expanded access to technologies, and technical evangelism. Gain insights from Yujian Tang, a Developer Advocate at Zilliz with experience in AutoML at Amazon and a background in Computer Science, Statistics, and Neuroscience. Understand the crucial role of vector databases in supporting billion-scale vector searches and their significance in the era of ChatGPT and LLM applications.
Solving LLM Data Problems with Vector Databases - Part 2
Overview
Syllabus
Solving LLM Data Problems // Yujian Tang // LLMs in Prod Conference Part 2
Taught by
MLOps.community
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