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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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#miaospeed#dev版 #4.3.2 ✅同步Miaospeed 4.3.1 ✅更新Clash内核 Clash v1.13.0 ✅修复STUN无法传参问题 ✅ipv6 stack 读取问题 ✅默认 ipv6 检测脚本换为更激进的[2606:4700:4700:.1111] ✅增加一个新的动态测速文件方式, DYNAMIC:ALL (欢迎提交测速文件地址) ❌尝试更新Clash.META内核失败,保留原本的版本

#miaospeed#release#v4.3.3 ✅同步Miaospeed 4.3.1 ✅更新Clash内核 Clash v1.13.0 ✅修复STUN无法传参问题 ✅PING和UDP的DNS预解析 ✅ipv6 stack 读取问题 ✅默认 ipv6 检测脚本换为更激进的[2606:4700:4700:.1111] ✅增加一个新的动态测速文件方式, DYNAMIC:ALL (欢迎提交测速文件地址) ✅Miaoko传入STUN或pingAddress无法解析自动切换Miaospeed内置地址 地址:https://github.com/moshaoli688/miaospeed/releases/tag/v4.3.3