Make LLM Apps Sane Again - Forgetting Incorrect Data in Real Time

Explore a conference talk on improving Large Language Model (LLM) applications by implementing real-time data correction. Delve into LLM limitations and various correction methods, including fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG). Learn about vector embeddings, popular RAG use cases, and the potential risks of compromised RAG data. Discover a solution using real-time vector indexing, and follow along with a practical demonstration of building a chatbot. Gain insights on the importance of reactivity in LLM applications and walk away with key takeaways for enhancing LLM performance and reliability.