

AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628
77 snips May 8, 2023
Join Jerry Liu, co-founder and CEO of Llama Index, as he discusses the innovative creation of this platform that links external data with large language models. He shares insights on the challenges of integrating private data, the importance of automation in decision-making, and the evolution of AI agents. Liu also dives into strategies for optimizing complex queries and highlights the transformative potential of AI in processing unstructured data. Get ready to explore how technology can revolutionize data management!
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Sales Bot Challenge
- Jerry Liu wanted to build a sales bot using GPT-3 to synthesize to-do lists from customer conversations.
- He faced challenges with GPT-3's limited prompt size when trying to input long transcripts.
Two Augmentation Methods
- Two ways exist for augmenting language models with private data: fine-tuning via gradient descent and retrieval augmentation.
- Fine-tuning is less accessible due to cost, data preparation, and evaluation complexity.
Retrieval-Augmented Generation
- Retrieval-augmented generation involves storing data chunks with embeddings in a vector database.
- During query time, top-k retrieval finds relevant chunks, which are then injected into the prompt.