LLM Engineer's Handbook: Master the art of engineering large language models from concept to production
Product ID: 645540841
📚Comprehensive LLM engineering guide
🚀Production-grade deployment techniques
⚙️Hands-on MLOps & LLMOps workflows
NT$5346
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Description
🚀 Elevate your AI game with the ultimate LLM engineering playbook!
- DEPLOY LIKE A PRO - Learn real-world MLOps best practices including orchestration, monitoring, and inference optimization for low-latency, high-availability apps.
- HANDS ON PRACTICAL - Step-by-step examples and workflows empower you to create your own LLM Twin and implement end-to-end solutions.
- FUTURE PROOF YOUR AI SKILLS - Ideal for AI engineers and NLP pros aiming to dominate the Gen AI landscape with AWS and Python-ready strategies.
- MASTER THE FULL LLM LIFECYCLE - From data prep to fine-tuning and deployment, build scalable, modular LLM systems with confidence.
- CUTTING EDGE TECHNIQUES INCLUDED - Explore preference alignment, RAG pipelines, and real-time data processing to stay ahead in AI innovation.
The LLM Engineer's Handbook is a definitive guide for mastering large language model development from concept through production. It covers data engineering, supervised fine-tuning, MLOps/LLMOps best practices, and deployment strategies including AWS integration. Designed for AI professionals and enthusiasts, this book delivers practical, hands-on instruction to build scalable, cost-effective, and high-performance LLM systems, featuring advanced topics like preference alignment and inference optimization.
Specifications
| Best Sellers Rank | 73,425 in Books ( See Top 100 in Books ) |
| Customer reviews | 4.5 4.5 out of 5 stars (226) |
| Dimensions | 19.05 x 3 x 23.5 cm |
| ISBN-10 | 1836200072 |
| ISBN-13 | 978-1836200079 |
| Item weight | 954 g |
| Language | English |
| Print length | 522 pages |
| Publication date | 22 Oct. 2024 |
| Publisher | Packt Publishing |
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