LOADED LUX CLAPS BACK AT JAY-Z OVER HIS COMMENTS ON BATTLE RAP & SAYS โHE GOTTA CLEAR THAT UP, U CANT MAKE A BOLD STATEMENT LIKE THAT..WE BEEN BATTLING FOREVER, HOV BEEN BATTLING FOREVER..WE WAR BABIES & U TALKING ABOUT BATTLING..U WYLIN HOV..LISTEN HOV, WE THEM..CLEAR IT UPโ ๐ฎ
When Jess Hilarious refused to apologize for confronting streamer N3on about his racist comments targeting Black people on The Breakfast Club, where he got upset. She posted a compilation of his remarks on Instagram, standing firm. ๐
Stop wasting hours trying to learn AI. ๐๐
I have already done it for you.
With one list. Zero confusion. And no fluff
๐น 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
๐๏ธ 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
๐บ๏ธ 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
๐Books:
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
๐ 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.
๐ง๐ซ 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
Repost for your network โป๏ธ