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所在平台: Udemy |
课程主页: https://www.udemy.com/course/q-star-algorithm/
课程评论：没有评论
课程名称：Q-Star：改变一切的算法 课程概述：如果说ChatGPT只是热身，那么2023年末OpenAI内部发生了一件震动AI界的事件：一个被称为Q-Star的秘密算法引发了内部警报、公众泄密和一次几乎使公司破裂的企业危机。为何如此？因为Q*不仅仅是另一个聊天机器人。Q*能够推理、计划并自我调试思维。如果你还在关注提示工程，那么你已经落后了。这个课程不只是关于AI的炒作，而是关于未来的方向，以及你如何构建它。 在此课程中，你将学习到Q-Star的完整故事： - 从企业混乱到代码实现 - 从语言模型到真正的深思熟虑智能 - 从理论突破到现实应用 模块内容： 模块1： - 泄露的备忘录警告Q*可能“威胁人类”的原因 - Q*的不同之处及其对研究人员的恐慌 - 项目的时间线：从秘密实验室到公众危机 模块2： - Q-学习、深度网络、A*搜索：构建模块 - 这些模块如何组合成一个在行动前思考的智能体 - 这如何改变我们对AI的理解及其能力 模块3： - 思维链、思维树和过程监督 - 如何赋予AI记忆、判断和内部评估能力 - “大声思考”对于机械推理为何至关重要 模块4： - 从零开始设计自己的推理系统 - 构建符号追踪和内部评估器 - 分步骤测试、基准和调试你的AI 模块5： - Q*风格的AI如何重塑金融到医疗等行业 - 构建多个智能体运行、模拟推理循环和避免灾难性失败的系统 - AGI安全、风险和负责任的发布，不使用流行词汇 模块6： - 建立一个展示稀缺且有价值技能的作品集 - 引领变革，不要等待被打断 - 让自己处于AI历史的前沿 为什么这现在重要： 大多数人还在试图优化更好的提示。你将设计不需要提示的AI系统。当Q*出现时，内部人士感到恐慌——不是因为它失败了，而是因为它工作得太好。如果你认真对待AI——不仅仅是使用它，而是塑造它——这是你开始的地方。没有空话，没有过时的幻灯片，只有未来的蓝图。
What if ChatGPT was just the warm-up act?In late 2023, something happened inside OpenAI that shook the AI world: a secret algorithm, known only as Q-Star, triggered internal warnings, public leaks, and a corporate crisis that almost tore the company apart.Why?Because Q* wasn't just another chatbot.Q* could reason.Q* could plan.Q* could debug its own thinking.And if you're still focused on prompt engineering, you're already behind.This course is not about AI hype. It's about what comes next - and how you can build it.You'll learn the full Q-Star story: • From corporate chaos to code • From language models to true deliberative intelligence • From theoretical breakthroughs to real-world applications MODULE 1 • The leaked memo that warned Q* could "threaten humanity" • Why Q* is different - and why that difference terrifies researchers • The timeline of the project: from secret lab to public crisis MODULE 2 • Q-learning, deep networks, A* search: the building blocks • How these pieces combine into an agent that thinks before acting • Why this changes everything about what AI is and what it can do MODULE 3 • Chain-of-Thought, Tree-of-Thought, and Process Supervision • How to give AI memory, judgment, and internal evaluation • Why "thinking out loud" is key to machine reasoning MODULE 4 • From zero to blueprint: design your own reasoning system • Build symbolic traces and internal evaluators • Test, benchmark, and debug your AI step by step MODULE 5 • How Q*-style AI will reshape industries from finance to medicine • Build systems that run multiple agents, simulate reasoning loops, and avoid catastrophic failures • AGI safety, risks, and responsible release - without buzzwords MODULE 6 • Build a portfolio that sinalizes rare, valuable skills • Lead the transformation - don't wait to be disrupted • Position yourself at the cutting edge of AI history Why This Matters Now Most people are still figuring out how to write better prompts. You will be designing AI systems that don't need them. When Q* hit OpenAI, insiders panicked - not because it failed, but because it worked too well.If you're serious about AI - not just using it, but shaping it - this is where you start. No fluff. No outdated slides. Just the blueprint for the future.
