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📹 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
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What is an AI Agent? 🤖📘
AI Agents are the future of automation — they think, act & learn like humans ⚡
Also I’ve compiled 1000+ Materials — including AI Agents, LLMs, Prompting, SQL & Automation Guides 🚀
To get it 👇
1️⃣ Follow me (@daievolutionhub) so I can DM you
2️⃣ Repost this post 🔁
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