+- HHWForum.hu (https://hhwforum.hu)
+-- Fórum: Letöltések (https://hhwforum.hu/forumdisplay.php?fid=9)
+--- Fórum: E-könyvek (https://hhwforum.hu/forumdisplay.php?fid=57)
+---- Fórum: Külföldi könyvek (https://hhwforum.hu/forumdisplay.php?fid=64)
+---- Téma: The LLM Engineer's Toolkit (/showthread.php?tid=410775)
RE: The LLM Engineer's Toolkit - book24h - 2026-01-04
![[Kép: f3fa40f20564a61c2d551c75d751ecc4.webp]](https://i126.fastpic.org/big/2026/0104/c4/f3fa40f20564a61c2d551c75d751ecc4.webp)
Free Download The LLM Engineer's Toolkit : Build, Train, and Deploy GPT-Style Language Models from Scratch Using Python, Transformers and PyTorch by Juno Darian
English | June 15, 2025 | ISBN: N/A | ASIN: B0FD9W1CWJ | 363 pages | EPUB | 0.36 Mb
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
✓ 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.
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.Links are Interchangeable - Single Extraction