A Hands-On Guide to Fine-Tuning LLMs by Daniel Voigt Godoy (.PDF)
File Size: 11.6 MB
A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face by Daniel Voigt Godoy
Requirements: .PDF reader, 11.6 MB | True PDF
Overview: A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks. This book is a practical guide 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. This is an intermediate-level resource—positioned between building a large language model from scratch and deploying an LLM in production—designed for practitioners with some prior experience in Deep Learning. If terms like Transformers, attention mechanisms, Adam optimizer, tokens, embeddings, or GPUs sound familiar, you’re in the right place. Familiarity with Hugging Face and PyTorch is assumed. If you’re new to these concepts, consider starting with a beginner-friendly introduction to Deep Learning with PyTorch before diving in. By the end, you’ll have the skills and confidence to fine-tune LLMs for your own real-world applications. Whether you’re looking to enhance existing models or tailor them to niche tasks, this book is your essential companion.
Genre: Non-Fiction > Tech & Devices
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