The LLM Engineer's Toolkit: Build, Train, and Deploy GPT-Style Language Models from Scratch Using Python, Transformers and PyTorch

By Juno Darian

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.

• Format: Paperback
• Language: English
• ISBN: B0FDFWK9LJ
• ISBN13: 9798288293931
• Release Date: June 2025
• Publisher: Independently Published
• Length: 362 Pages
• Weight: 1.85 lbs.
• Dimensions: 0.8" x 8.5" x 11.0"