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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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@colearninguz · Post #12 · 12/27/2020, 07:29 AM

Dasturlash doimiy ravishda oʻz ustida ishlash degani. Shuningdek, u toʻxtovsiz oʻrganishni ham talab etadi. Oʻrganish jarayonida kitobdan yaxshi koʻmakchi yoʻq, shunday emasmi? 🧑‍💻 “Clean Code: A Handbook of Agile Software Craftsmanship” Robert C. Martinʼning kitobi boʻlib, unda kodni tozalash, yozish va qayta tiklash boʻyicha batafsil, bosqichma-bosqich tushuntirishlar mavjud. Siz dasturiy taʼminotni ishlab chiqish loyihalarida SDLC'ning yetakchi shakllaridan biri boʻlgan Agile metodologiyasini gʻayrat bilan amalga oshira olasiz. Bundan tashqari, siz avvalgidan koʻra qatʼiyatli va intizomli dasturchi boʻlasiz. #CLC#Chitay#Coding_hazil_emas @colearninguz