Practical AI Data augmentation with LlamaIndex
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May 23, 2023 
Jerry Liu, co-founder of LlamaIndex, dives into the captivating world of integrating private data with large language models. He reveals how LlamaIndex streamlines data ingestion and enhances query efficiency through innovative indexing techniques. The conversation covers prompt engineering intricacies and the transition from traditional querying to natural language processing. Plus, Jerry discusses evaluating model outputs and the exciting future of automated query interfaces, showcasing how LlamaIndex is set to revolutionize data interactions in AI applications.
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LLMs and External Data
- LLMs excel at various tasks, but often lack specific knowledge about private user data.
- Connecting LLMs with external data enables them to reason over and answer questions using this private information.
Llama Index as a Stateful Service
- Llama Index offers a stateful service around private data, unlike the stateless nature of LLM calls.
- It structures data with indexes and a query interface, similar to a database, for efficient retrieval and LLM integration.
LLMs and Simplified Data Interaction
- LLMs simplify data interaction by understanding unstructured text and natural language queries.
- This reduces the need for complex SQL queries or data parsing pipelines.