Articles liés à Fine-Tuning Large Language Models: From Custom Datasets...
Fine-Tuning Large Language Models: From Custom Datasets to High-Performance AI Models Using Modern Toolchains - Couverture souple
Synopsis
Are your prompts not cutting it anymore? Fine-tuning is the next level.
This hands-on guide takes you from zero to deploying your own
custom-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 exact
pipeline 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 code
using Hugging Face Transformers, PEFT, TRL, and modern open-source
models like Llama and Mistral.
By the end, you won't just understand fine-tuning you'll have built
and shipped a model of your own.
Perfect for: ML engineers, Python developers, data scientists, and
anyone ready to move beyond ChatGPT and take control of their AI stack.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Fine-Tuning Large Language Models: From Custom Datasets...
Image d'archives
Fine-Tuning Large Language Models: From Custom Datasets to High-Performance AI Models Using Modern Toolchains
impression à la demandeVendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Print on Demand. N° de réf. du vendeur I-9798182313315
Acheter neuf
EUR 27,71
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Fine-Tuning Large Language Models
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798182313315
Acheter neuf
EUR 30,67
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Fine-Tuning Large Language Models
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798182313315
Acheter neuf
EUR 28,57
Expédition à EUR 4,86
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Fine-Tuning Large Language Models (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : 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. N° de réf. du vendeur 9798182313315
Acheter neuf
EUR 32,47
Expédition à EUR 43,22
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Fine-Tuning Large Language Models : From Custom Datasets to High-Performance AI Models Using Modern Toolchains
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9798182313315
Acheter neuf
EUR 37
Expédition à EUR 61,81
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)