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Source channel @githubtrending · Post #14845 · Jun 20

#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch

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@JianjiaoPD · Post #10927 · 05/12/2026, 03:34 AM

✈️ 开发者自荐 | TradingAgents:把股票代码发给 Bot 让 AI 进行分析 🏷 检索标签:#TradingAgentsTelegram#TradingAgents#TGBot#股票分析#AI#股票 ⭐️ 详情介绍:TradingAgents-Telegram 是一个基于 TradingAgents 的 TG Bot 项目,发股票代码给 Bot,就能看 AI 对股票、市场情绪和观点做分析。适合已经在看 TradingAgents,但不想每次都打开 Terminal 的人,聊天式操作比命令行会轻便很多 分析内容还能通过 Telegraph 输出,分享和回看都方便一些;且支持 自己docker compose部署 📖GitHub·TradingAgents ✈️ 来源:@IvanWng97 开发者投稿 😌频道 |🙂群聊 |😋中文包 |☺️搜索