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Thursday Nights in AI
Episode 7: LlamaIndex CEO, Jerry Liu
Sep 16, 2023
Jerry Liu, CEO of LlamaIndex, discusses the growth and applications of LAMA Index, explores expanded use cases and retrieval augmented generation, shares the journey of Loma Index from side project to comprehensive toolkit, talks about improving agent performance and the need for a reliable PDF parser, and announces updates and teases future developments.
28:00
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Quick takeaways
- Retrieval augmented generation is a technique used in LAMA Index to leverage LLMs' capabilities without fine-tuning, offering flexibility and faster time to value compared to traditional methods.
- Context length plays a significant role in LAMA Index, with longer context lengths expanding the range of choices and enhancing performance, while striking a balance is crucial to optimize resource utilization.
Deep dives
Overview of LAMA Index
LAMA Index is a rapidly growing AI community that serves as an interface between LLMs and user data. Despite being less than a year old, it has already gained significant traction with over 21,000 GitHub stars, 200,000 monthly downloads, and 11,000 active Discord users. LAMA Index aims to equip developers with the best tools to harness the potential of LLMs for various use cases, ranging from building chatbots to more complex applications like structured data extraction and workflow automation.
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