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소스 채널 @phpdevelopersuz · Post #2382 · 3월 15일

Dasturchilar uchun Google tomonidan Code Jam onlayn musobaqasi. Tanlov g'oliblariga pul mukofotlari topshiriladi Talablar — Tanlovda 18 yoshdan katta bo'lgan dasturchilik sohasiga qiziquvchi yoshlar qatnashishlari mumkin; — Dasturchilarning Google accountlarida o'z ism-shariflari, telefon nomerlari va qaysi davlatda yashashlari aniq va batafsil keltirib o'tishlari so'raladi; — Dastur ishchi tili ingliz tili ekanligi uchun shu tildan xabardor bo'lishi kerak (sertifikat shartmas). Foydali tomonlari — 1-raunddan 2-raundga o'tgan eng yaxshi 1000 ta dasturchi ichiga kirgan nomzodlarga Code Jam futbolkalari beriladi; — Code Jam musobaqasida oxirgi 5-bosqichiga yetib kelgan ishtirokchilar quyidagi miqdordagi pul mukofotlari bilan taqdirlanadilar: — 1-o'rin - $15 000; — 2-oʻrin — $2000; — 3-oʻrin — $1000; — 4-25-oʻrin — $100. Oxirgi muddat 03.04.2022 23:59 Batafsil https://grantgo.uz/go/56580 #tanlovlar#mukofot#AQSh

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@githubtrending · Post #14815 · 2025. 06. 10. AM 11:30

#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2 This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5]. https://github.com/datawhalechina/self-llm