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A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face
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7300495A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Facehttps://www.gandhi.com.mx/a-hands-on-guide-to-fine-tuning-large-language-models-with-pytorch-and-hugging-face-9798227232182/phttps://gandhi.vtexassets.com/arquivos/ids/6856364/image.jpg?v=638749841446370000204204MXNGandhiInStock/Ebooks/<p><strong>Are you ready to fine-tune your own LLMs?</strong></p><p><em>This book is a <strong>practical guide</strong> to fine-tuning Large Language Models (LLMs), combining high-level concepts with step-by-step instructions to train these powerful models for your specific use cases.</em></p><p><strong>Who Is This Book For?</strong></p><p>This is an <strong>intermediate-level resource</strong>positioned between building a large language model from scratch and deploying an LLM in productiondesigned for practitioners with <strong>some prior experience in deep learning</strong>.</p><p>If terms like Transformers, attention mechanisms, Adam optimizer, tokens, embeddings, or GPUs sound familiar, youre in the right place. Familiarity with Hugging Face and PyTorch is assumed. If youre new to these concepts, consider starting with a beginner-friendly introduction to deep learning with PyTorch before diving in.</p><p><strong>What Youll Learn:</strong></p><ul><li>Load <strong>quantized models</strong> using <strong>BitsAndBytes</strong>.</li><li>Configure <strong>Low-Rank Adapters (LoRA)</strong> using <strong>Hugging Faces PEFT</strong>.</li><li>Format datasets effectively using <strong>chat templates</strong> and formatting functions.</li><li><strong>Fine-tune LLMs on consumer-grade GPUs</strong> using techniques such as gradient checkpointing and accumulation.</li><li><strong>Deploy LLMs locally</strong> in the <strong>GGUF</strong> format using <strong>Llama.cpp</strong> and <strong>Ollama</strong>.</li><li><strong>Troubleshoot</strong> common error messages and exceptions to keep your fine-tuning process on track.</li></ul><p>This book doesnt just skim the surface; it <strong>zooms in on the critical adjustments and configuration</strong>those all-important "knobs"that make or break the fine-tuning process.</p><p><strong>By the end, youll have the skills and confidence to fine-tune LLMs for your own real-world applications.</strong> Whether youre looking to enhance existing models or tailor them to niche tasks, this book is your essential companion.</p>...6933360A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face204204https://www.gandhi.com.mx/a-hands-on-guide-to-fine-tuning-large-language-models-with-pytorch-and-hugging-face-9798227232182/phttps://gandhi.vtexassets.com/arquivos/ids/6856364/image.jpg?v=638749841446370000InStockMXN99999DIEbook2025Inglés