Live Demo: How to use RAG with Langchain and Llama 2
Join Hudson Buzby, December 6th at 11:30 AM EST to explore the groundbreaking advancements in AI language models with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
This session includes a live demo and will delve into:
Overcoming Static Knowledge
Learn how RAG enhances LLMs by breaking free from static knowledge, sourcing real-time data, and providing more contextually relevant responses.
Expanding Knowledge Horizons
Understand how RAG leverages external databases, minimizing the need for exhaustive retraining and keeping AI systems up-to-date.
Boosting Domain-Specific Responses
Discover how RAG draws from specialized databases to provide detailed, accurate answers, balancing breadth and depth in information retrieval.
Gain insights into the architecture of RAG, including its data ingestion pipeline, retrieval mechanism, and generation component.
This session is ideal for AI enthusiasts, professionals, and researchers eager to learn about the next frontier in dynamic, context-aware language modeling.