Practical Data Considerations for Building Production-Ready LLM Applications

Explore practical data considerations for building production-ready Large Language Model (LLM) applications in this 29-minute conference talk by Anyscale. Discover how LLMs are revolutionizing content interaction and generation, and learn about emerging stacks and toolkits for Retrieval Augmented Generation (RAG) that enable chatbot creation using LLMs on private data. Gain insights into the long-tail data challenges faced when developing production-ready applications and receive practical tips for managing data in scalable, robust, and reliable LLM software systems. Understand how LlamaIndex and Ray provide essential tools for addressing these challenges. Access the accompanying slide deck for visual references and additional information. Delve into the world of AI application development with Anyscale's platform and learn about Ray, the popular open-source framework for scaling AI workloads.

Practical Data Considerations for Building Production-Ready LLM Applications