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Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

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Co-Learning Center

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

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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

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