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📹 Videos:
1. LLM Introduction: https://t.co/Avq3pNZxWY
2. LLMs from Scratch: https://t.co/nGJGCQYi89
3. Agentic AI Overview (Stanford): https://t.co/1JbA2JypnJ
4. Building and Evaluating Agents: https://t.co/02o8b7RAS2
5. Building Effective Agents: https://t.co/Jw0cd23A3K
6. Building Agents with MCP: https://t.co/9uvcpin1j9
7. Building an Agent from Scratch: https://t.co/QiYCLK48tn
8. Philo Agents: https://t.co/TCSX4hnKRf
🗂️ Repos
1. GenAI Agents: https://t.co/VdfLWAA3wW
2. Microsoft's AI Agents for Beginners: https://t.co/3SpFdnMcQa
3. Prompt Engineering Guide: https://t.co/4W7Eh6NKaE
4. Hands-On Large Language Models: https://t.co/LEtKGYBdgU
5. AI Agents for Beginners: https://t.co/3SpFdnMcQa
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/sL3gbmGUky
8. Hands-On AI Engineering:https://t.co/J79go1Ivlo
9. Awesome Generative AI Guide: https://t.co/xXF08rY8zP
10. Designing Machine Learning Systems: https://t.co/Q39XZLn50b
11. Machine Learning for Beginners from Microsoft: https://t.co/vfkyHL1Gnx
12. LLM Course: https://t.co/wuDkhQ0572
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/BSjthrG81u
2. Google's Agent Companion: https://t.co/wdzh5zuSvp
3. Building Effective Agents by Anthropic: https://t.co/HmYVgMIA7l.
4. Claude Code Best Agentic Coding practices: https://t.co/H3JpJWlpp3
5. OpenAI's Practical Guide to Building Agents: https://t.co/G1TL1Z2TR3
📚Books:
1. Understanding Deep Learning: https://t.co/EEqkGL7lHe
2. Building an LLM from Scratch: https://t.co/8Ehn91NNxE
3. The LLM Engineering Handbook: https://t.co/yzvXeQAgtV
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/FKEzpBewe4
5. Building Applications with AI Agents - Michael Albada: https://t.co/nvBaoR6FxZ
6. AI Agents with MCP - Kyle Stratis: https://t.co/u0M1GfBlsL
7. AI Engineering: https://t.co/A2QxhrpmDc
📜 Papers
1. ReAct: https://t.co/Vbc3vWxQHO
2. Generative Agents: https://t.co/PvNHYnqsOD.
3. Toolformer: https://t.co/HFdds582DI
4. Chain-of-Thought Prompting: https://t.co/GxX5BxXLzV.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/zhizqjunzS
2. MCP with Anthropic: https://t.co/LqDZ0oCRfj
3. Building Vector Databases with Pinecone: https://t.co/ncqSVaVHqH
4. Vector Databases from Embeddings to Apps: https://t.co/JOl7SIlguq
5. Agent Memory: https://t.co/5m0UrGwDM9
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