我刚刚对open ai有了基本理解，我该如何进阶学习

总结一下：今天我们的讨论起始于人工智能中的“Agent&Action”，然后转向OpenAI对智能体（Agent）能力模型的定义。接着，我们深入探讨了ChatGPT中的Action（搜索、画图、代码解释器），以及GPT系列中的不同Action。使用了一个容易上手的Action Webpilot，用于访问网页获取实时的文本内容。最后，我们初步了解了API的概念，以及GPT如何通过Action与外部数据进行交互和使用。如果对Action很感兴趣，你可以从以下方向开始继续前进：系统的了解和学习API相关的知识去网上寻找可以用的API来练习发掘GPT Action更多的潜力以上是我认为相对容易入门的知识框架，但是我们都知道：你不可能只在一次分享/一篇文章中就获得完整的Action相关知识学习虽然没有终点，但有阶段性目标。大家可以通过后续看到的不同的教程和资料，识别这些知识之间的共性和逻辑关系，然后继续深化对这个主题的理解，构建你自己的知识体系。如果你对GPT开发有兴趣，想要认识更多玩GPT的朋友，欢迎加入GPTGeeker的星球：

Pushing the frontier of unsupervised learningWe advance AI capabilities by scaling two paradigms:unsupervised learning and chain-of-thought reasoning.Scaling chain-of-thought reasoning teaches models to think before they respond,allowing them to tackle complex STEM or logic problems.In contrast,scaling unsupervised learning increases world model accuracy,decreases hallucination rates,and improves associative thinking.GPT-4.5 is our next step in scaling the unsupervised learning paradigm.New alignment techniques lead to better human collaborationAs we scale our models,and they solve broader,more complex problems,it becomes increasingly important to teach them a greater understanding of human needs and intent.For GPT-4.5 we developed new,scalable alignment techniques that enable training larger and more powerful models with data derived from smaller models.These techniques allowed us to improve GPT4.5’s steerability,understanding of nuance,and natural conversation.1Internal testers report GPT-4.5 is warm,intuitive,and natural.When tasked with emotionallycharged queries,it knows when to offer advice,diffuse frustration,or simply listen to the user.GPT-4.5 also shows stronger aesthetic intuition and creativity.It excels at helping users with their creative writing and design.GPT-4.5 was pre-trained and post-trained on diverse datasets,including a mix of publicly available data,proprietary data from data partnerships,and custom datasets developed in-house,which collectively contribute to the model’s robust conversational capabilities and world knowledge.Our data processing pipeline includes rigorous filtering to maintain data quality and mitigate potential risks.We use advanced data filtering processes to reduce processing of personal information when training our models.We also employ a combination of our Moderation API and safety classifiers to prevent the use of harmful or sensitive content,including explicit materials such as sexual content involving a minor.

[heading2]智能章节本章节提到若想深入学习内容可查看官方cookbook，还有创作者将内容做成可视化形式，后续会发到群里。另外整理了open AI的发展时间线、万字长文回顾等历史脉络内容，入门经典必读和面向开发者的文章值得阅读，欢迎上传相关PPT用作参考。[55:39](https://waytoagi.feishu.cn/minutes/obcn7mvb3vu6k6w6t68x14v5?t=3339000)学习过程中账户投资，可先从国内模型工具入手本章节AJ提出某些内容直接拿去可能有问题，提到了于一同学，并表示要更新过学习过程中账户投资金额相关内容。还指出学习可以先从国内模型工具入手，不花钱，若想进阶再考虑高阶方向，若想深入学习美学概念和操作可报野菩萨课程，那是AJ的启蒙老师。[56:40](https://waytoagi.feishu.cn/minutes/obcn7mvb3vu6k6w6t68x14v5?t=3400000)国内大语言模型工具好用，学习从提示词开始本章节主要提到若想深入使用某些工具可能需支出费用，但国内新工具已好用。接着要跟大家讲解prompt怎么写，会收录经典结构，强调与模型对话时要把话说清。还提及可从温达、李弘毅老师课程等学习入门，但与大语言模型相关建议从提示词开始。[58:08](https://waytoagi.feishu.cn/minutes/obcn7mvb3vu6k6w6t68x14v5?t=3488000)提示词在与各类模型对话中的重要性及结构化提示词的优势