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RAG and LLMs for AI Applications by aarushg1021 is a document available to read on EtoBox.

What is RAG and LLMs for AI Applications about?

The document provides an overview of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), detailing their foundations, use cases, and pipeline construction. LLMs utilize transformer architecture for text processing and have applications in text generation, conversational AI, and summarization, among others. RAG enhances LLMs by retrieving relevant documents to improve response accuracy and factual consistency, with practical applications such as building an AI poker model.

Author

aarushg1021

Language

EN