Nobody @Nobody_github

🚨 Harvard just made its AI course free. No tuition. No application. Just world-class AI education. Harvard University just released 6 high-quality lectures on AI + Prompt Engineering— and anyone can access them. If you're serious about AI in 2026, start here: 🎓 Harvard University LECTURES 1. Introduction to Generative AI A step-by-step guide to how GenAI actually works. Link: lnkd.in/e9rWNjBE 2. Prompt Engineering Real tips for improving output quality from any LLM. Link: lnkd.in/e5nekvS2 3. Beyond Chatbots: System Prompts, RAG Move past surface use cases into scalable applications. Link: lnkd.in/exsX5tP7 4. Generative AI in Teaching & Learning How educators can adapt and lead with AI. Playlist: lnkd.in/erdwPRvu 5. Teaching with AI in the Classroom Frameworks for trainers and educators. Link: lnkd.in/eWXskwWG 6. The Basics of Generative AI No jargon. Just clarity. Link: lnkd.in/eSCJ62Bi BONUS 🟩 CS50x 2025 – Artificial Intelligence Lecture LLMs, neural nets, and real-world use cases Link: lnkd.in/eYg6vdCr 🟩 CS50 Extension – AI / Prompt Engineering Design prompts that think with you Link: lnkd.in/eJH4DWQR 🟩 GPT-4: How it works + how to build with it Behind the curtain on GPT-4 Video: lnkd.in/eeh7QXUM 🟩 LLMs and the End of Programming Why prompting is the new coding Video: lnkd.in/e3JbSFi7 --- 💡 REALITY CHECK ✅ Harvard-level AI knowledge is now free ✅ Prompting = career acceleration ✅ 2 lectures can put you ahead of 90% of professionals ✅ The future belongs to people who can “talk to machines” strategically Don’t just consume AI. Learn how to control it. 👇 Which lecture are you starting with? ♻️ Repost to help others learn AI 🔖 Save this (you’ll need it later) 🔔 Follow @razib_ul47671 for more AI insights

MIT University just released free online courses. No payment required. Here are 10 courses you don't want to miss in 2026: 1. Prompt Engineering for ChatGPT: imp.i384100.net/QYWOvo 2. Generative AI: Prompt Engineering Basics: imp.i384100.net/9VrWj5 3. ChatGPT: Master Free AI Tools to Supercharge Productivity Specialization: imp.i384100.net/rEBnqv 4. OpenAI GPTs: Creating Your Own Custom AI Assistants: imp.i384100.net/jRBWGP 5. Build AI Apps with ChatGPT, Dall-E, and GPT-4: imp.i384100.net/5kxbD2 6. ChatGPT for Project Management - Leveraging AI for Success Specialization: imp.i384100.net/k4Nj1L 7. ChatGPT + Excel: AI-Enhanced Data Analysis & Insight Specialization: imp.i384100.net/enb45O 8. ChatGPT Advanced Data Analysis: imp.i384100.net/enb42g 9. ChatGPT for Work & Career Productivity: imp.i384100.net/aN41zj 10. Google Prompting Essentials Specialization: imp.i384100.net/Gb2jkE 11. Understand & Use AI – ChatGPT with Smart Prompting Tips: imp.i384100.net/VO0yKR Follow @KhushiPatilx for more some courses!

𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜 𝗘𝗫𝗣𝗟𝗔𝗜𝗡𝗘𝗗 𝗜𝗡 𝗢𝗡𝗘 𝗦𝗜𝗠𝗣𝗟𝗘 𝗙𝗥𝗔𝗠𝗘𝗪𝗢𝗥𝗞 If you're confused about the difference between AI & ML, Gen AI, AI Agents, and Agentic AI, think of them as layers. Each layer adds more capability. 𝗟𝗔𝗬𝗘𝗥 𝟭 — 𝗔𝗜 & 𝗠𝗟 This is the foundation. It includes: → Machine learning → Natural language processing → Reasoning & problem solving → Neural networks → Learning from data This is where modern AI systems begin. 𝗟𝗔𝗬𝗘𝗥 𝟮 — 𝗚𝗘𝗡 𝗔𝗜 Generative AI builds on these foundations to create new content. → Text → Images → Audio → Video → Code LLMs and Transformers are major building blocks here. 𝗟𝗔𝗬𝗘𝗥 𝟯 — 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧𝗦 Now AI moves beyond simply generating content. Agents can: → Understand goals → Break tasks into steps → Use tools → Manage context → Schedule tasks → Execute actions → Validate results This is where AI starts becoming action-oriented. 𝗟𝗔𝗬𝗘𝗥 𝟰 — 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜 Agentic AI describes the broader system around autonomous agents. It can involve: → Multi-agent collaboration → Memory systems → Feedback loops → Dynamic tool use → Agent coordination → Failure recovery → Observability → Governance & guardrails → Human-in-the-loop oversight The goal isn't just to make AI smarter. It's to make AI systems capable of working toward goals reliably. 𝗧𝗛𝗘 𝗦𝗜𝗠𝗣𝗟𝗘 𝗪𝗔𝗬 𝗧𝗢 𝗥𝗘𝗠𝗘𝗠𝗕𝗘𝗥: 𝗔𝗜 & 𝗠𝗟 → Learn from data 𝗚𝗲𝗻 𝗔𝗜 → Generate content 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 → Execute tasks 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 → Coordinate systems that can reason, plan, act, observe, and adapt 𝗧𝗛𝗘 𝗕𝗜𝗚 𝗦𝗛𝗜𝗙𝗧: From: “𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗔𝗜 𝗴𝗶𝘃𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗻𝘀𝘄𝗲𝗿𝘀?” To: “𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗹𝗱 𝘁𝗮𝘀𝗸𝘀?” That shift is what makes agentic AI so interesting. 𝗦𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗹𝗮𝘁𝗲𝗿. Follow @AamirAnsar94694 for more AI, tools, automation and tech insights. #AI #AgenticAI #AIAgents #GenerativeAI #ArtificialIntelligence #MachineLearning #AITools #Automation

Google just released free 2-hour course on full Harness engineering from 0% to 100%: 0% → 0:29 - Harness engineering from scratch 15% → 11:08 - build your first agent right way 30% → 28:08 - Eval engineering: build Chief of Staff agent 65% → 1:00:13 - Loop engineering 100% → 1:23:19 - self-improving graphs system that works 24/7 most people keep trusting agent that "looks right" - the real upgrade is a Harness that tests, judges and rewrite your agent until it works learn Harness from Google, ship your first - then unlock the full Agent systems below:

codila @0xCodila

3 months ago

x.com/i/article/2079…

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论文代写是一个非常赚钱的项目 暴利到央视都要来曝光一下，便宜的几千，贵一点的随随便便都要上万，最近就有论文代写代发一篇卖到6万块 但现在 GPT-6 出来了，这行又得经历沉痛的打击 以前读个研还要花钱找人做的文献整理、论文润色、数据分析还有科研绘图，现在 Codex 配上现成的科研 Skill，自己就能解决一大半。 分享 9 个科研人值得看的 Codex Skill： 1、Academic Research Skills 完整论文流程，文献调研、写作、引用质控这些都能管。 github.com/Imbad0202/acad… 2、Research Paper Writing Skills 偏 ML / CV / NLP，专门处理论文各个章节。 github.com/Slazee/researc… 3、codex-claude-academic-skills 对中文科研比较友好，论文、PPT、Python / MATLAB 科研计算都有。 github.com/zLanqing/codex… 4、Claude Scholar 适合重度使用 Zotero、Obsidian 管论文和知识库的人。 github.com/Galaxy-Dawn/cl… 5、Scientific Agent Skills 偏生物、化学、医学、药研，里面有很多现成科研 Skill。 github.com/k-dense-ai/sci… 6、AI-Research-SKILLs 偏 AI 科研，模型训练、评测、推理、MLOps 都有。 github.com/Orchestra-Rese… 7、Auto-Empirical Research Skills 学经济学、金融、社科的可以重点看，计量、因果推断这些比较全。 github.com/brycewang-stan… 8、nature-skills 文献检索、论文写作、科研绘图、返修这些都有覆盖。 github.com/Yuan1z0825/nat… 9、ARIS 从选题、查文献、跑实验到写论文，可以直接串成一整套自动化流程。 github.com/wanshuiyin/Aut… 这些科研 Skill 也不用看到什么都装。 刚开始选 1 个主套件，再补 1 个自己专业方向的专项，完全就够用了。

CatNarratives老三 @laosanhemao

a month ago

现在越来越多人开始用上 GPT-6 Astra 了 我拿到之后没有先去测什么跑分，我是先让它帮我把自己过去使用 GPT 的习惯重新提炼了一遍。 以前很多要求都要重复给ai提，但现在模型越来越强，我觉得完全可以慢慢淡化Prompt的使用， 提前告诉他你的要求，让它慢慢熟悉你的习惯。 最好让 AI

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@0xKingsKuan 😂

@gurtej__gill_ Nice

The only one!