The Analytics Engineering Podcast
Bring Your Own Data to LLMs (W/ Jerry Liu of LlamaIndex)
Aug 25, 2023
Jerry Liu, CEO and co-founder of LlamaIndex, discusses how companies are bringing their data to tailor large language models (LLMs) for their needs. Topics include working on LLMs versus autonomous systems, skill set and data preparation for LOMs, using databases for storing embeddings, capabilities of LMs in analyzing user questions, and exploring agents and specialized microservices in analytics engineering.
42:53
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Building a framework that allows organizations to tailor large language models (LLMs) to their specific needs is crucial.
- LLMs can provide immediate value by processing text, making them more accessible for software developers compared to autonomous systems like self-driving cars.
Deep dives
Building a Framework for LLM Applications
Jerry Liu, CEO and co-founder of LAMA Index, discusses the importance of building a framework that allows organizations to tailor large language models (LLMs) to their specific needs. LAMA Index is an open source framework that helps people prepare their data for use with LLMs through retrieval augmented generation. Jerry emphasizes the value of adding additional context and knowledge to LLMs to make them more useful for businesses.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
