The Practical Guide to Large Language Models by Ivan Gridin (.PDF)+
File Size: 27.9 MB
The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers by Ivan Gridin
Requirements: .PDF, .ePUB reader, 27.9 MB | True PDF, True ePUB
Overview: This book is a practical guide to harnessing Hugging Face’s powerful transformers library, unlocking access to the largest open-source LLMs. By simplifying complex NLP concepts and emphasizing practical application, it empowers data scientists, machine learning engineers, and NLP practitioners to build robust solutions without delving into theoretical complexities. The book is structured into three parts to facilitate a step-by-step learning journey. Part One covers building production-ready LLM solutions introduces the Hugging Face library and equips readers to solve most of the common NLP challenges without requiring deep knowledge of transformer internals. Part Two focuses on empowering LLMs with RAG and intelligent agents exploring Retrieval-Augmented Generation (RAG) models, demonstrating how to enhance answer quality and develop intelligent agents. For Data scientists, Machine Learning engineers, and NLP specialists with basic Python skills, introductory PyTorch knowledge, and a primary understanding of deep learning concepts, ready to start applying Large Language Models in practice.
Genre: Non-Fiction > Tech & Devices
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