𝗔𝗜 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀

𝗔𝗹𝗹 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗙𝗥𝗘𝗘 𝗔𝗜 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀.

𝗩𝗶𝗱𝗲𝗼𝘀 🎥

1️⃣ LLM Introduction: t.co/kyDon6qLrb

2️⃣ LLMs from Scratch: t.co/2hyMhuKoiI

3️⃣ Agentic AI Overview (Stanford): t.co/FXu6cAqITC

4️⃣ Building and Evaluating Agents: t.co/ZigR1tdOFL

5️⃣ Building Effective Agents: t.co/uYwfwO55mO

6️⃣ Building Agents with MCP: t.co/4arFTW1b3i

7️⃣ Building an Agent from Scratch: t.co/eOmveyM9Hz

8️⃣ Philo Agents: t.co/zLu7x1tx9m

𝗥𝗲𝗽𝗼𝘀 🗂️

1️⃣ GenAI Agents: t.co/eXCl2YaRPv

2️⃣ Microsoft’s AI Agents for Beginners: t.co/3CSW4zPAwf

3️⃣ Prompt Engineering Guide: t.co/GVzvxPYDVO

4️⃣ Hands-On Large Language Models: t.co/0rgDvhx3pI

5️⃣ AI Agents for Beginners: t.co/3CSW4zPAwf

6️⃣ GenAI Agents: lnkd.in/dEt72MEy

7️⃣ Made with ML: t.co/9z5KHF9DMe

8️⃣ Hands-On AI Engineering: t.co/dldAj5Xkr6

9️⃣ Awesome Generative AI Guide: t.co/U2WZhT4ERV

🔟 Designing Machine Learning Systems: t.co/sYAZX34YdQ

1️⃣1️⃣ Machine Learning for Beginners from Microsoft: t.co/NjFxHbC9jZ

1️⃣2️⃣ LLM Course: t.co/N34YTPu1OK

𝗚𝘂𝗶𝗱𝗲𝘀 🗺️

1️⃣ Google’s Agent Whitepaper: t.co/bW3Ov3vMW0

2️⃣ Google’s Agent Companion: t.co/wredwWAbBA

3️⃣ Building Effective Agents by Anthropic: t.co/fxtE4alVrJ

4️⃣ Claude Code Best Agentic Coding Practices: t.co/lLSwJ9pG7C

5️⃣ OpenAI’s Practical Guide to Building Agents: t.co/xgkEIogGfh

𝗕𝗼𝗼𝗸𝘀 📚

1️⃣ Understanding Deep Learning: t.co/CjcKpTemmV

2️⃣ Building an LLM from Scratch: t.co/DaWBxOx8o3

3️⃣ The LLM Engineering Handbook: t.co/ZA1n0N41Mf

4️⃣ AI Agents: The Definitive Guide: t.co/boLkl1VlKb

5️⃣ Building Applications with AI Agents: t.co/H1Xf5EkJLL

6️⃣ AI Agents with MCP: t.co/JI3ELQZE6a

7️⃣ AI Engineering: t.co/Xk0JzMIf7o

𝗣𝗮𝗽𝗲𝗿𝘀 📜

1️⃣ ReAct: t.co/QNqE4UU55w

2️⃣ Generative Agents: t.co/CwEpoJgY1U

3️⃣ Toolformer: t.co/5m9xZd5teZ

4️⃣ Chain-of-Thought Prompting: t.co/KjVlgdWi77

𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🧑‍🏫

1️⃣ HuggingFace’s Agent Course: t.co/7FSUYKxIdG

2️⃣ MCP with Anthropic: t.co/IkZGiWm2yS

3️⃣ Building Vector Databases with Pinecone: t.co/2YRoMfLdXd

4️⃣ Vector Databases from Embeddings to Apps: t.co/23A50ixbHJ

5️⃣ Agent Memory: t.co/uc3L9BrNF7

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