Python for Generative AI & LLMs: Build and Train Language Models with Hugging Face, Transformers, and Python Step by Step - Tapa blanda

Python for Generative AI & LLMs (Paperback)

Paperback. Condición: new. Paperback. Generative AI has moved from research labs into everyday applications. With the rise of large language models (LLMs), developers now have the tools to build chatbots, translators, summarizers, and intelligent assistants-all with Python.Python for Generative AI & LLMs is a hands-on guide that takes you step by step through installing, running, fine-tuning, and deploying LLMs using Hugging Face Transformers and the latest Python libraries. Written for beginner to intermediate Python developers, this book focuses on practical skills, not heavy theory.Inside you will learn how to: Install Python, Jupyter, Hugging Face Transformers, and Datasets librariesUnderstand tokens, tokenization, and how models process textWork with pretrained models like GPT, LLaMA, and FalconGenerate text, summaries, translations, and answers with a few lines of codeFine-tune models for custom datasets and tasksBuild applications such as chatbots, semantic search, and code generatorsDeploy your models with FastAPI and manage inference costsAddress challenges around token limits, bias, and responsible AI useEvery chapter introduces a concept, then follows with working Python code examples and outputs in plain text or tables. No plots or charts are required, making the material accessible and easy to follow.Whether you are a developer entering the AI field, a student exploring NLP, or a professional looking to integrate AI into applications, this book will give you the skills to confidently build and deploy your own Generative AI systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798264693205

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