Explore the importance of corporate data in Generative AI applications through a 39-minute conference talk from MLOps World: Machine Learning in Production. Discover how to build a customizable RAG (Retrieval Augmented Generation) stack using open-source tools like HuggingFace, Milvus vector database, and LangChain. Learn best practices and advanced techniques for optimizing GenAI workflows with proprietary data, including optional integrations with Zilliz cloud and OpenAI. Gain insights from Christy Bergman, Developer Advocate at Zilliz, as she demonstrates the significance of tailored data in machine learning and its impact on Generative AI applications.
Customizable RAG Workflows with Your Own Data
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Customizable RAG Workflows with your Own Data
Taught by
MLOps World: Machine Learning in Production
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