How Large Language Models Work
Edward Raff, Drew Farris +1
Description An examination of the internal mechanics of Large Language Models (LLMs) such as GPT and Gemini. It covers the technical transition from a...
Amit Bahree
Publisher
Simon and Schuster
Published
2024
Duration
12 hr 18 min
ISBN
9781638355762
Genres
Description A practitioner-focused analysis of how large language models are integrated into software solutions, covering architectural patterns, deployment, and ethical considerations. Key Topics: Retrieval-Augmented Generation (RAG), prompt engineering, multi-modality, and production-scale application architecture. About the Technology: Generative AI encompasses models capable of producing text, images, and other media through predictive reasoning and deep learning architectures. About the Book: The book presents use cases for generative AI in enterprise environments, focusing on implementation strategies for data storytelling, report generation, and system scaling. About the Reader: For enterprise architects, developers, and data scientists. About the Author: Amit Bahree is a Principal Group Product Manager for the Azure AI engineering team at Microsoft.