Boost your LLM with Private Data using LlamaIndex
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About the Session
In-context learning has emerged as a powerful method to augment LLMs with our own data. By inserting relevant context into the input prompt, we can leverage the LLM's sophisticated reasoning abilities to generate accurate and meaningful responses that reflect our unique data inputs.
LlamaIndex is a simple, flexible interface to connect your LLM's with external data. Join this session with LlamaIndex co-founder and CEO, Jerry Liu. He’ll share details on how he built LlamaIndex, discuss the various tools it contains and how you can get started enriching your LLM with private data.
What you'll learn:
- How LlamaIndex can help augment your LLM with private data
- What LlamaIndex tools exist for data connection, indices and queries
- Best practices for integrating LlamaIndex with Milvus
Meet the Speaker
Join the session for live Q&A with the speaker
Co-founder and CEO of LlamaIndexJerry is the co-founder/CEO of LlamaIndex, an open-source tool that provides a central data management/query interface for your LLM application. Before this, he has spent his career at the intersection of ML, research, and startups. He led the ML monitoring team at Robust Intelligence, did self-driving AI research at Uber ATG, and worked on recommendation systems at Quora. He graduated from Princeton in 2017 with a degree in CS.