{"product_id":"large-language-models-the-hard-parts-open-source-ai-solutions-for-common-pitfalls-paperback","title":"Large Language Models: The Hard Parts: Open Source AI Solutions for Common Pitfalls - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eThársis T. P. Souza\u003c\/b\u003e (Author), \u003cb\u003eJonathan K. Regenstein\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLarge language models (LLMs) have transformed natural language processing, but deploying them in applications introduces numerous technical challenges. \u003cem\u003eLarge Language Models: The Hard Parts\u003c\/em\u003e offers a clear, practical examination of the limitations developers and AI engineers face when building LLM-based applications. With a focus on implementation pitfalls (not just capabilities), this book provides actionable strategies supported by reproducible Python code and open source tools.\u003c\/p\u003e \u003cp\u003eReaders will learn how to navigate key obstacles in application evaluation, input management, testing, and safety. Designed for builders and technical product leads, this guide emphasizes practical solutions to real-world problems and promotes a grounded understanding of LLM constraints and trade-offs.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDesign testing and evaluation strategies for nondeterministic systems\u003c\/li\u003e \u003cli\u003eManage context, RAG, \u0026amp; long-context retrieval\u003c\/li\u003e \u003cli\u003eAddress output inconsistency and structural unreliability\u003c\/li\u003e \u003cli\u003eImplement safety and content moderation frameworks\u003c\/li\u003e \u003cli\u003eExplore alignment challenges and mitigation techniques\u003c\/li\u003e \u003cli\u003eLeverage open source models locally\u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 338\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.71 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 16, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48704328106233,"sku":"9798341622524","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/vf7H96dHjY9798341622524.webp?v=1784811854","url":"https:\/\/bookscloud.io\/products\/large-language-models-the-hard-parts-open-source-ai-solutions-for-common-pitfalls-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}