Optimizing LLM Performance Framework-Agnostic Techniques for Speed, Scalability, and Cost-Efficient Inference Across PyTorch, ONNX, VLLM, and More - Peter E Poisson
-40% koodiga BOOKS
30-päevane tagastamisõigus
Are you struggling to scale your large language models (LLMs) without breaking the bank or sacrificing latency? This book offers a clear roadmap to optimize inference, reduce costs, and scale seamlessly across platforms like PyTorch, ONNX, vLLM, and more.Optimizing LLM Performance is your hands-on guide to boosting the efficiency of large language models in production environments. Whether you're building c ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-40% koodiga BOOKS
Meie tarnija laos
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-40% koodiga BOOKS
Meie tarnija laos
TOP
AI Engineering: Building Applications with Foundation Models
-40% koodiga BOOKS
Meie tarnija laos
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Art of Game Design: A Book of Lenses
-40% koodiga BOOKS
Meie tarnija laos
TOP
How To Think About AI: A Guide For The Perplexed
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-40% koodiga BOOKS
Meie tarnija laos
TOP
HBR Guide to Generative AI for Managers
-40% koodiga BOOKS
Meie tarnija laos
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-40% koodiga BOOKS
Meie tarnija laos
TOP
How Linux Works: What Every Superuser Should Know
-40% koodiga BOOKS
Meie tarnija laos
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-40% koodiga BOOKS
Meie tarnija laos
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-40% koodiga BOOKS
Meie tarnija laos
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-40% koodiga BOOKS
Meie tarnija laos
TOP
Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
-40% koodiga BOOKS
Meie tarnija laos
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-40% koodiga BOOKS
Meie tarnija laos
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-40% koodiga BOOKS
Meie tarnija laos
Kirjeldus
Are you struggling to scale your large language models (LLMs) without breaking the bank or sacrificing latency? This book offers a clear roadmap to optimize inference, reduce costs, and scale seamlessly across platforms like PyTorch, ONNX, vLLM, and more.
Optimizing LLM Performance is your hands-on guide to boosting the efficiency of large language models in production environments. Whether you're building chatbots, document summarizers, or enterprise AI tools, this book teaches proven methods to accelerate inference while maintaining accuracy. It dives deep into hardware-aware optimizations, quantization, model pruning, compiler acceleration, and memory-efficient runtime strategies without locking you into any single framework.
Written with clarity and real-world use in mind, the book features practical case studies, side-by-side performance comparisons, and up-to-date techniques from the cutting edge of AI deployment. If you're building, serving, or scaling LLMs in 2025, this is the performance engineering guide you've been waiting for.
Key Features:
- Framework-agnostic optimization techniques using PyTorch, ONNX Runtime, vLLM, llama.cpp, and more
- Deep dive into quantization (INT8/4-bit), distillation, pruning, and KV caching
- Hands-on examples with FastAPI, Hugging Face Transformers, and serverless deployment
- Covers performance profiling, streaming, batching, and cost-efficient scaling
- Future-proof insights on compiler-aware models, LoRA 2.0, and edge inference
Ready to build LLM systems that are faster, cheaper, and more scalable?
Grab your copy of Optimizing LLM Performance today and deploy smarter.
Lisateave
| Autor | Peter E Poisson |
|---|---|
| Kirjastaja | Amazon Digital Services LLC - Kdp |
| Väljalaskeaasta | 2025 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9798294338459 |