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The LLM Engineer's Toolkit: Build, Train, and Deploy GPT-Style Language Models from Scratch Using Python, Transformers and PyTorch - Softcover
Synopsis
The LLM Engineer’s Toolkit: Build, Train and Deploy GPT-style Language Models from Scratch Using Python, Transformers and PyTorch
Unlock the Power of GPT: Master Language Models from the Ground Up
Whether you're an AI researcher, ML engineer, data scientist, or curious developer—The LLM Engineer’s Toolkit is your ultimate guide to building and deploying Large Language Models (LLMs) like GPT from scratch using Python, PyTorch, and Hugging Face Transformers.
This hands-on, no-fluff manual gives you everything you need to design, train, fine-tune, and serve powerful GPT-style models for real-world use.
What You’ll Learn:
• The fundamentals of Transformer architectures and tokenization techniques
• Pretraining strategies, dataset engineering, and scaling LLMs across GPUs
• Instruction tuning, LoRA, QLoRA, and other fine-tuning methods for practical deployment
• Real-world optimization: quantization, inference acceleration, and containerized deployment
• Safety, red teaming, ethical auditing, and serving models as secure APIs
Inside the Book: ✓ 17 chapters covering the entire LLM development lifecycle
✓ Code samples, command-line utilities, and training scripts you can run today
✓ Integration with leading open-source tools: PyTorch, Transformers, Weights & Biases, DeepSpeed
✓ Cloud deployment strategies on AWS, GCP, and Azure
✓ Real-world applications in healthcare, finance, education, and more
Why This Book?
Unlike high-level theory or limited tutorials, this is a practical engineer’s playbook—backed by real code, implementation best practices, and detailed walkthroughs.
If you’ve ever wanted to build your own GPT, optimize a billion-parameter model, or deploy a private LLM API, this is the definitive guide.
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Paperback. Condition: new. Paperback. The LLM Engineer's Toolkit: Build, Train and Deploy GPT-style Language Models from Scratch Using Python, Transformers and PyTorch Unlock the Power of GPT: Master Language Models from the Ground UpWhether you're an AI researcher, ML engineer, data scientist, or curious developer-The LLM Engineer's Toolkit is your ultimate guide to building and deploying Large Language Models (LLMs) like GPT from scratch using Python, PyTorch, and Hugging Face Transformers.This hands-on, no-fluff manual gives you everything you need to design, train, fine-tune, and serve powerful GPT-style models for real-world use. What You'll Learn: - The fundamentals of Transformer architectures and tokenization techniques- Pretraining strategies, dataset engineering, and scaling LLMs across GPUs- Instruction tuning, LoRA, QLoRA, and other fine-tuning methods for practical deployment- Real-world optimization: quantization, inference acceleration, and containerized deployment- Safety, red teaming, ethical auditing, and serving models as secure APIs Inside the Book: 17 chapters covering the entire LLM development lifecycle Code samples, command-line utilities, and training scripts you can run today Integration with leading open-source tools: PyTorch, Transformers, Weights & Biases, DeepSpeed Cloud deployment strategies on AWS, GCP, and Azure Real-world applications in healthcare, finance, education, and more Why This Book?Unlike high-level theory or limited tutorials, this is a practical engineer's playbook-backed by real code, implementation best practices, and detailed walkthroughs.If you've ever wanted to build your own GPT, optimize a billion-parameter model, or deploy a private LLM API, this is the definitive guide. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798288293931
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The LLM Engineer's Toolkit: Build, Train, and Deploy GPT-Style Language Models from Scratch Using Python, Transformers and PyTorch
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