Large-Language-Models

This document explores the challenges of large language models and how retrieval-augmented generation (RAG) addresses issues of outdated knowledge and lack of sources, with practical examples.

This document provides an overview of large language models (LLMs), their foundation model origins, generative capabilities, and business applications. It explains how LLMs are trained, their advantages, and the role of prompting and tuning in real-world use cases.

Explains the relationship between AI, machine learning, deep learning foundation models, generative AI, and large language models. Covers definitions, distinctions, and the evolution of foundational AI technologies.