@joshwoodward@GeminiApp I am working on a an idea to allow students prepare for competitve exams with the help of AI where each mock paper is tailor made and improves the quality based on their weak sections
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
Writing code is easy.
Owning outcomes is hard.
The moment you stop thinking in โfeaturesโ
and start thinking in โsystems,โ
you stop being replaceable.
Nobody cares about your clean final product.
They care about:
โ the wrong turns
โ the drafts that sucked
โ the bugs you didnโt expect
โ the insight that changed everything
Outcome is forgettable.
Process is memorable.
Document the work.
The audience will come.
Building in public isnโt about flexing wins.
Itโs about documenting:
โข bad decisions
โข ugly drafts
โข broken deploys
โข lessons learned too late
People donโt follow perfection.
They follow process.
Ship โ share โ reflect โ repeat.
Thatโs how leverage is built.
@kabr3rp I actually have built up a system for myself, that can get me around 100 business owner details daily across the globe for any niche( i can share with you as well) But i'm us overthinking if I will really get a client