Stop wasting hours trying to learn AI. ๐๐
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With one list. Zero confusion. And no fluff
๐น Videos:
1. LLM Introduction: https://t.co/MfZHtEFSZC
2. LLMs from Scratch: https://t.co/kfPUVOpIxp
3. Agentic AI Overview (Stanford): https://t.co/YwfdVehhsO
4. Building and Evaluating Agents: https://t.co/6S8FGJRYbE
5. Building Effective Agents: https://t.co/pDTKM04SbE
6. Building Agents with MCP: https://t.co/5tXUZo9Xri
7. Building an Agent from Scratch: https://t.co/BtDWY0u0Du
8. Philo Agents: https://t.co/A4bj3gDOAg
๐๏ธ Repos
1. GenAI Agents: https://t.co/XbindjiOGu
2. Microsoft's AI Agents for Beginners: https://t.co/6Yaapil6AA
3. Prompt Engineering Guide: https://t.co/9JyzmoITLO
4. Hands-On Large Language Models: https://t.co/cuFS03HiXZ
5. AI Agents for Beginners: https://t.co/6Yaapil6AA
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/vDNcCdZ8Ni
8. Hands-On AI Engineering:https://t.co/GZs4q8rSYc
9. Awesome Generative AI Guide: https://t.co/EdJ1eGDF0m
10. Designing Machine Learning Systems: https://t.co/Nf1szfXGWK
11. Machine Learning for Beginners from Microsoft: https://t.co/gEdhvs78o3
12. LLM Course: https://t.co/4ISw9XBGWe
๏ฟฝ๏ฟฝ๏ฟฝ๏ฟฝ๏ธ Guides
1. Google's Agent Whitepaper: https://t.co/fQ64JT8Hru
2. Google's Agent Companion: https://t.co/NHt05sw0Sx
3. Building Effective Agents by Anthropic: https://t.co/VjaqhSl1jz.
4. Claude Code Best Agentic Coding practices: https://t.co/yBGMtyeWTg
5. OpenAI's Practical Guide to Building Agents: https://t.co/kmqQgcvvwL
๐Books:
1. Understanding Deep Learning: https://t.co/cgSSJ1U1d6
2. Building an LLM from Scratch: https://t.co/IUVA1tpJJ2
3. The LLM Engineering Handbook: https://t.co/G5HGLfTTq9
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/kehojr3v2p
5. Building Applications with AI Agents - Michael Albada: https://t.co/QHaJEitMMN
6. AI Agents with MCP - Kyle Stratis: https://t.co/POn6waJ2w7
7. AI Engineering: https://t.co/rU9HES8VEU
๐ Papers
1. ReAct: https://t.co/q4zflGWTVT
2. Generative Agents: https://t.co/GK5QswcPQ2.
3. Toolformer: https://t.co/mhDey5PGJL
4. Chain-of-Thought Prompting: https://t.co/3kwFbejFqA.
๐ง๐ซ Courses:
1. HuggingFace's Agent Course: https://t.co/jIyZzuScoQ
2. MCP with Anthropic: https://t.co/ph5cM4zgx1
3. Building Vector Databases with Pinecone: https://t.co/VtA6lSCaQd
4. Vector Databases from Embeddings to Apps: https://t.co/mr9rePzbc3
5. Agent Memory: https://t.co/hjWM88dY2h
Repost for your network โป๏ธ