Unsupervised Learning
Ep 18: LlamaIndex CEO Jerry Liu on Trends in LLM Applications
Sep 19, 2023
Jerry Liu, CEO of LlamaIndex, discusses building enterprise-ready LLM applications and agents. Topics include retrieval augmented generation, the right level of abstraction for LlamaIndex, and underutilized features. They also touch on the pros and cons of fine-tuning, encoding external data, and naming decisions.
47:15
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Quick takeaways
- Lame Index is a powerful open-source data framework that connects data sources to large language models, enabling retrieval-augment generation.
- Fine-tuning the embedding model can enhance retrieval performance on specific domains.
Deep dives
Lame Index: An Open-Source Data Framework
Lame Index is an open-source data framework that connects data sources to large language models, making it a popular tool for retrieval-augment generation. Fine-tuning the embedding model can enhance retrieval performance on specific domains. Recursive retrieval allows users to retrieve documents by summaries first and then explore different chunks within them. Implementing advanced use cases and adding drum-like capabilities to applications requires moving beyond productionizing chatbots. The Lame Index mission is to unlock language model capabilities over users' own data.
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