Fine-Tuning with Python by Sohail (.ePUB)+

File Size: 10 MB

Fine-Tuning with Python: Train, Align, and Deploy Custom LLMs Using LoRA, QLoRA, PEFT, Instruction Tuning, and DPO on Consumer Hardware (Python Series – Learn. Build. Master. Book 15) by Muhammad Sohail
Requirements: .ePUB, .PDF, .MOBI reader, 10 MB
Overview: Most Language Models Are Not Built for Your Use Case. General-purpose language models are capable but generic. They do not know your domain vocabulary, cannot maintain your brand voice, and have never seen your internal codebase or proprietary documentation. Prompt engineering helps at the edges. It does not fix the core problem. Fine-tuning does. It updates the model’s weights using your curated data, embedding the specific knowledge, style, and behavior your application requires directly into the model itself. You are not configuring a model. You are changing what the model is. Fine-Tuning with Python teaches you how to do this correctly, on consumer hardware, using the same techniques that power specialized AI systems in production today. This book is for Python developers, Machine Learning engineers, data scientists, and AI engineers who want to build models with specific behavior embedded in their weights rather than enforced through prompting. Python proficiency is required. Prior Machine Learning experience is helpful but not essential.
Genre: Non-Fiction > Tech & Devices

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