--- # AI-News ## AI 基础 1. [ChatGPT 中，G、P、T 分别是什么意思？](https://mp.weixin.qq.com/s/vXoYeA7w6l_WiKmDHogdTA) 2. [ChatGPT的各项超能力从哪儿来？万字拆解追溯技术路线图来了！](https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650864144&idx=4&sn=1270624988d70f44d4059af7ac4ae4e0) 3. [通向AGI之路：大型语言模型（LLM）技术精要](https://zhuanlan.zhihu.com/p/597586623) ## AI 学术论文 & 技术文章 1. 【Paper】[Attention Is All You Need](https://arxiv.org/pdf/1706.03762.pdf) 2. 【Paper】[How Is ChatGPT’s Behavior Changing over Time?](https://arxiv.org/pdf/2307.09009.pdf) 3. 【Blogs】[Transformers, Explained: Understand the Model Behind GPT-3, BERT, and T5](https://daleonai.com/transformers-explained) 4. 【Bolgs】[What Is ChatGPT Doing … and Why Does It Work?](https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/) 5. 【Bolgs】[How Stable Diffusion Works](https://mccormickml.com/2022/12/21/how-stable-diffusion-works/) 6. 【Blogs】[陆奇最新演讲实录：我的大模型世界观](https://mp.weixin.qq.com/s/_ZvyxRpgIA4L4pqfcQtPTQ) 7. 【Zhihu】[详解Transformer （Attention Is All You Need）](https://zhuanlan.zhihu.com/p/48508221) 8. 【Blogs】[ChatGPT的各项超能力从哪儿来？万字拆解追溯技术路线图来了！](https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650864144&idx=4&sn=1270624988d70f44d4059af7ac4ae4e0) 9. 【Zhihu】[大语言模型的涌现能力：现象与解释](https://zhuanlan.zhihu.com/p/621438653) 10. 【Zhihu】[通向AGI之路：大型语言模型（LLM）技术精要](https://zhuanlan.zhihu.com/p/597586623) 11. 【Paper】[Levels of AGl: Operationalizing Progress on the Path to AGl](https://arxiv.org/abs/2311.02462) 12. 【Paper】[Graph of Thoughts: Solving Elaborate Problems with Large Language Models](https://arxiv.org/abs/2308.09687) 13. 【Paper】[The Rise and Potential of Large Language Model Based Agents: A Survey](https://arxiv.org/abs/2309.07864) 14. 【Paper】[Tree of Thoughts: Deliberate Problem Solving with Large Language Models](https://arxiv.org/abs/2305.10601) ## AI Prompt 1. 【知乎】[硬核Prompt赏析：HuggingGPT告诉你Prompt可以有多“工程”](https://zhuanlan.zhihu.com/p/628491327) 2. 【知乎】[【NLP】Prompt Learning 超强入门教程](https://zhuanlan.zhihu.com/p/442486331) 3. 【Web】[FLOW GPT](https://flowgpt.com/) 4. 【Web】[Prompt Perfect｜专业一流的提示词工程开发工具](https://promptperfect.jinaai.cn/prompts) 5. 【Web】[Prompt Extend](https://huggingface.co/spaces/daspartho/prompt-extend) ## AI 学习课程 1. [OpenAI ChatGPT](https://platform.openai.com/docs/introduction/overview) 2. [AI for Beginners【微软】](https://microsoft.github.io/AI-For-Beginners/) 3. [Generative AI learning path【Google】](https://www.cloudskillsboost.google/journeys/118) 4. [李宏毅2023春机器学习课程](https://www.bilibili.com/video/BV1TD4y137mP/?vd_source=34fa11a75da7287c55c8b7aafb16c935) 5. [沃顿商学院的Al启蒙系列课程](https://www.youtube.com/watch?v=t9gmyvf7JYohttps://www.bilibili.com/video/BV1sm4y1x789/) 6. [Llama 2 学习资源大汇总](https://zhuanlan.zhihu.com/p/650166741) 7. [OpenAI官方ChatGPT提示工程 - 最佳实践11篇（大合集）](https://mp.weixin.qq.com/s/kakoEBoO7zEiN0CApjQL3w) ## AI Agent 1. [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT)：About AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. 2. [MetaGPT](https://github.com/geekan/MetaGPT)：The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo 3. [AutoAgent]Enabling Next-Gen LLM Applications via Multi-Agent Conversation (https://arxiv.org/abs/2308.08155) 4. [AutoGen] Enabling Next-Gen LLM Applications via Multi-Agent Conversation( https://arxiv.org/abs/2308.08155) ## AI Workflow 1. [Flowise](https://github.com/FlowiseAI/Flowise): About Drag & drop UI to build your customized LLM flow 2. [Langflow](https://github.com/logspace-ai/langflow): Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows. 3.

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