Sometimes good people make bad choices, it doesn't mean they're bad, it means they're just Human.
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@Anlugbua_Ibadan That's 28+ square kilometers fa? That's huge land inside Ibadan and not been occupied by people? Even Mogagi no go gree if such land is available 😂🤣🤣
Stop wasting hours trying to learn AI.
One list.
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No fluff.
I’ve already done the hard work for you 👇
📄 Complete AI Learning Document
https://t.co/2BPRsBq4zx
What’s inside:
📹 Videos
LLMs, Agentic AI, real-world breakdowns (Stanford + more)
🗂️ GitHub Repos
GenAI agents, prompt engineering, hands-on LLMs, beginner → advanced
🗺️ Guides & Whitepapers
Google, Anthropic, practical agent design
🧑🏫 Courses
Hugging Face, MCP, Vector DBs, end-to-end agent systems
📚 Books
From fundamentals to LLM engineering
📜 Research Papers
ReAct, Generative Agents, Toolformer, and more
📩 Newsletters
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Everything is curated, sequenced, and practical.
No random bookmarks. No hype.
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Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/kyDon6qLrb
2. LLMs from Scratch: https://t.co/2hyMhuKoiI
3. Agentic AI Overview (Stanford): https://t.co/FXu6cAqITC
4. Building and Evaluating Agents: https://t.co/ZigR1tdOFL
5. Building Effective Agents: https://t.co/uYwfwO55mO
6. Building Agents with MCP: https://t.co/4arFTW1b3i
7. Building an Agent from Scratch: https://t.co/eOmveyM9Hz
8. Philo Agents: https://t.co/zLu7x1tx9m
🗂️ Repos
1. GenAI Agents: https://t.co/eXCl2YaRPv
2. Microsoft's AI Agents for Beginners: https://t.co/3CSW4zPAwf
3. Prompt Engineering Guide: https://t.co/GVzvxPYDVO
4. Hands-On Large Language Models: https://t.co/0rgDvhx3pI
5. AI Agents for Beginners: https://t.co/3CSW4zPAwf
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/9z5KHF9DMe
8. Hands-On AI Engineering:https://t.co/dldAj5Xkr6
9. Awesome Generative AI Guide: https://t.co/U2WZhT4ERV
10. Designing Machine Learning Systems: https://t.co/sYAZX34YdQ
11. Machine Learning for Beginners from Microsoft: https://t.co/NjFxHbC9jZ
12. LLM Course: https://t.co/N34YTPu1OK
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/bW3Ov3vMW0
2. Google's Agent Companion: https://t.co/wredwWAbBA
3. Building Effective Agents by Anthropic: https://t.co/fxtE4alVrJ.
4. Claude Code Best Agentic Coding practices: https://t.co/lLSwJ9pG7C
5. OpenAI's Practical Guide to Building Agents: https://t.co/xgkEIogGfh
📚Books:
1. Understanding Deep Learning: https://t.co/CjcKpTemmV
2. Building an LLM from Scratch: https://t.co/DaWBxOx8o3
3. The LLM Engineering Handbook: https://t.co/ZA1n0N41Mf
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/boLkl1VlKb
5. Building Applications with AI Agents - Michael Albada: https://t.co/H1Xf5EkJLL
6. AI Agents with MCP - Kyle Stratis: https://t.co/JI3ELQZE6a
7. AI Engineering: https://t.co/Xk0JzMIf7o
📜 Papers
1. ReAct: https://t.co/QNqE4UU55w
2. Generative Agents: https://t.co/CwEpoJgY1U.
3. Toolformer: https://t.co/5m9xZd5teZ
4. Chain-of-Thought Prompting: https://t.co/KjVlgdWi77.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/7FSUYKxIdG
2. MCP with Anthropic: https://t.co/IkZGiWm2yS
3. Building Vector Databases with Pinecone: https://t.co/2YRoMfLdXd
4. Vector Databases from Embeddings to Apps: https://t.co/23A50ixbHJ
5. Agent Memory: https://t.co/uc3L9BrNF7
Repost for your network ♻️
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/Qja4lkPWlY
2. LLMs from Scratch: https://t.co/DAtGeO5if3
3. Agentic AI Overview (Stanford): https://t.co/APcq2oulIY
4. Building and Evaluating Agents: https://t.co/UeCQBskKUS
5. Building Effective Agents: https://t.co/B2tpQHaVoz
6. Building Agents with MCP: https://t.co/CwVBIVUjd0
7. Building an Agent from Scratch: https://t.co/u2jhiZy6UV
8. Philo Agents: https://t.co/lFMIus5CpQ
🗂️ Repos
1. GenAI Agents: https://t.co/yoTno6RBAb
2. Microsoft's AI Agents for Beginners: https://t.co/EGGYhcMq7b
3. Prompt Engineering Guide: https://t.co/fSCoEaFtNf
4. Hands-On Large Language Models: https://t.co/TvpkfJN2sR
5. AI Agents for Beginners: https://t.co/EGGYhcMq7b
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/cCWWXKh2wW
8. Hands-On AI Engineering:https://t.co/fiLwjmXR8B
9. Awesome Generative AI Guide: https://t.co/MEhtfRlhiu
10. Designing Machine Learning Systems: https://t.co/l21VO4rRBK
11. Machine Learning for Beginners from Microsoft: https://t.co/d3EPcDJWmz
12. LLM Course: https://t.co/xXxETt90eS
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/rVDu4EyPB5
2. Google's Agent Companion: https://t.co/IWjvSpSE2q
3. Building Effective Agents by Anthropic: https://t.co/0wK5pe5DD6.
4. Claude Code Best Agentic Coding practices: https://t.co/fu7GHgvnAi
5. OpenAI's Practical Guide to Building Agents: https://t.co/sXpo72PxpI
📚Books:
1. Understanding Deep Learning: https://t.co/YRV9Kz78Gy
2. Building an LLM from Scratch: https://t.co/naslph9aCF
3. The LLM Engineering Handbook: https://t.co/BwmUJ6OgHe
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/ZIDeOOamnz
5. Building Applications with AI Agents - Michael Albada: https://t.co/409SxePxhA
6. AI Agents with MCP - Kyle Stratis: https://t.co/3k9lFG3ByM
7. AI Engineering: https://t.co/tHfgc3wNKQ
📜 Papers
1. ReAct: https://t.co/8yV9k9RjOK
2. Generative Agents: https://t.co/PpaAbCvWmj.
3. Toolformer: https://t.co/mSfjjT6urU
4. Chain-of-Thought Prompting: https://t.co/uGktDnFBOb.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/4MLjHKcWSI
2. MCP with Anthropic: https://t.co/EnUWTrvaK4
3. Building Vector Databases with Pinecone: https://t.co/AmQzrCVweX
4. Vector Databases from Embeddings to Apps: https://t.co/HZbr4UBlw2
5. Agent Memory: https://t.co/TxvrpeBMFj
Repost for your network ♻️
@OBO_Ben11@ogundamisi I don't even know how many people recognize these children. What if their pictures are all over the internet? Mr Kay should tell their father not to embezzlement public fund
@ogundamisi How are you sure they're underage? Faisal just finished her 2nd degree, except she's a genius, that can't be done by a 19 year old. Tell us all their ages before aserting all these. Besides, their father messed up the moment he started looting the treasury.