{ "item_title" : "Fine-Tuning Large Language Models", "item_author" : [" Arthur Weber "], "item_description" : "Are your prompts not cutting it anymore? Fine-tuning is the next level. This hands-on guide takes you from zero to deploying your owncustom-trained large language model using real code, modern tools,and production-ready techniques used by AI engineers today. Whether you want to build a medical assistant, legal document analyzer,coding AI, or customer support bot, this book gives you the exactpipeline to make it happen. What you'll learn: - How fine-tuning differs from prompt engineering and RAG and whento use each- LoRA and QLoRA: fine-tune powerful models on a single GPU- How to collect, clean, and format high-quality instruction datasets- Supervised Fine-Tuning (SFT), RLHF, and Direct Preference Optimization- Advanced techniques: mixed precision, gradient checkpointing,multi-GPU training- How to evaluate, quantize, and deploy your model to production- Safety, bias mitigation, and responsible AI practices- 14 chapters of step-by-step projects including a chatbot,evaluation dashboard, and automated training pipeline This is not a theory book. Every chapter includes working Python codeusing Hugging Face Transformers, PEFT, TRL, and modern open-sourcemodels like Llama and Mistral. By the end, you won't just understand fine-tuning you'll have builtand shipped a model of your own. Perfect for: ML engineers, Python developers, data scientists, andanyone ready to move beyond ChatGPT and take control of their AI stack.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/818/231/9798182313315_b.jpg", "price_data" : { "retail_price" : "27.99", "online_price" : "27.99", "our_price" : "27.99", "club_price" : "27.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details