ISBN: 9798182313315 - fine-tuning large language models: from custom datasets to high-performance ai models using modern toolchains (6 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - 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, >Whether you want to build a medical assistant, legal document analyzer, coding AI, or customer support bot, this book gives you the exact>What you'll learn: - How fine-tuning differs from prompt engineering and RAG and when to 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, >This is not a theory book. Every chapter includes working Python codeusing Hugging Face Transformers, PEFT, TRL, and modern open-source>By the end, you won't just understand fine-tuning you'll have built>Perfect for: ML engineers, Python developers, data scientists, andanyone ready to move beyond ChatGPT and take control of their AI stack.…

Taschenbuch. Condición: Neu. Fine-Tuning Large Language Models | From Custom Datasets to High-Performance AI Models Using Modern Toolchains | Arthur Weber | Taschenbuch | Englisch | 2026 | Amazon Digital Services LLC - Kdp | EAN 9798182313315 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Paperback. Condición: new. Paperback. 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 when to 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Paperback. Condición: new. Paperback. 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 when to 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …