Building Reliable AI Systems (MEAP 10) by Rush Shahani (.ePUB)+

Posted on by

File Size: 17.9 MB

Building Reliable AI Systems: Production-ready methods to reduce hallucination, bias, and more (MEAP V10) by Rush Shahani
Requirements: .ePUB, .PDF reader, 17.9 MB
Overview: Tested strategies to reduce hallucinations, improve performance and cost efficiency, and reduce bias or unethical behavior in your LLMs outputs. Building Reliable AI Systems shows you exactly how to guide large language models from research prototypes to scalable, robust, and efficient production systems. From model training to maintenance, an engineer will find everything they need to work with LLMs in this one-stop guide. This book complements Sebastian Raschka’s Build a Large Language Model (From Scratch), which takes a hands-on, ground-up approach to constructing LLMs. While Raschka’s book focuses on building models from scratch, Building Reliable AI Systems centers on deploying, optimizing, and maintaining reliable, production-grade AI systems. This book is written for developers, engineers, and data scientists who are ready to take their knowledge of Large Language Models (LLMs) beyond theory and into real-world, production-level applications. To get the most out of this book, it helps if you have a basic understanding of Python programming and some familiarity with LLMs like OpenAI and Claude.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://trbt.cc/md65293b7e19.html

https://katfile.cloud/wchx7ln5ghgx/Building_Reliable_AI_Systems_(MEAP_10