📹 Videos:
1. LLM Introduction: https://www.youtube.com/watch?v=zjkBMFhNj_g
2. LLMs from Scratch: https://www.youtube.com/watch?v=9vM4p9NN0Ts
3. Agentic AI Overview (Stanford): https://www.youtube.com/watch?v=kJLiOGle3Lw
4. Building and Evaluating Agents: https://www.youtube.com/watch?v=d5EltXhbcfA
5. Building Effective Agents: https://www.youtube.com/watch?v=D7_ipDqhtwk
6. Building Agents with MCP: https://www.youtube.com/watch?v=kQmXtrmQ5Zg
7. Building an Agent from Scratch: https://www.youtube.com/watch?v=xzXdLRUyjUg
8. Philo Agents: https://www.youtube.com/playlist?list=PLacQJwuclt_sV-tfZmpT1Ov6jldHl30NR
🗂️ Repos
1. GenAI Agents: https://github.com/nirdiamant/GenAI_Agents
2. Microsoft's AI Agents for Beginners: https://github.com/microsoft/ai-agents-for-beginners
3. Prompt Engineering Guide: https://lnkd.in/gJjGbxQr
4. Hands-On Large Language Models: https://lnkd.in/dxaVF86w
5. AI Agents for Beginners: https://github.com/microsoft/ai-agents-for-beginners
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://lnkd.in/d2dMACMj
8. Hands-On AI Engineering:https://github.com/Sumanth077/Hands-On-AI-Engineering
9. Awesome Generative AI Guide: https://lnkd.in/dJ8gxp3a
10. Designing Machine Learning Systems: https://lnkd.in/dEx8sQJK
11. Machine Learning for Beginners from Microsoft: https://lnkd.in/dBj3BAEY
12. LLM Course: https://github.com/mlabonne/llm-course
🗺️ Guides
1. Google's Agent Whitepaper: https://lnkd.in/gFvCfbSN
2. Google's Agent Companion: https://lnkd.in/gfmCrgAH
3. Building Effective Agents by Anthropic: https://lnkd.in/gRWKANS4.
4. Claude Code Best Agentic Coding practices: https://lnkd.in/gs99zyCf
5. OpenAI's Practical Guide to Building Agents: https://lnkd.in/guRfXsFK
📚Books:
1. Understanding Deep Learning: https://udlbook.github.io/udlbook/
2. Building an LLM from Scratch: https://lnkd.in/g2YGbnWS
3. The LLM Engineering Handbook: https://lnkd.in/gWUT2EXe
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://lnkd.in/dJ9wFNMD
5. Building Applications with AI Agents - Michael Albada: https://lnkd.in/dSs8srk5
6. AI Agents with MCP - Kyle Stratis: https://lnkd.in/dR22bEiZ
7. AI Engineering: https://www.oreilly.com/library/view/ai-engineering/9781098166298/
📜 Papers
1. ReAct: https://lnkd.in/gRBH3ZRq
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