Problem-solving isn't just about knowing syntax but also about developing a mindset to break down problems into manageable parts and find efficient and elegant solutions.๐งโ๐ป
#ProblemSolving#TechTips
The antidote for brain rot is books.
The antidote for brain rot is books.
The antidote for brain rot is books.
The antidote for brain rot is books.
The antidote for brain rot is books.
The antidote for brain rot is books.
The antidote for brain rot is books.
@opaybusiness@OPay debited me June 5 & 7 for a subscription that NEVER reached the merchant. Merchant confirmed: zero funds received. I've contacted support since June 8 with no refund or real response. Please resolve this. #OPay#CustomerService
Really inspiring to see the impact #Project1MillionKids is creating
Young people deserve the opportunity to to move beyond consuming technology to building with it, solving problems, & creating the future.
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/OLkDaY7H7g
2. LLMs from Scratch: https://t.co/2N91lxtSh1
3. Agentic AI Overview (Stanford): https://t.co/4xX3JiNUlm
4. Building and Evaluating Agents: https://t.co/paoZnUdySm
5. Building Effective Agents: https://t.co/TICgQVUFCk
6. Building Agents with MCP: https://t.co/EPKu3G7Fms
7. Building an Agent from Scratch: https://t.co/U3XSK0Qx85
8. Philo Agents: https://t.co/wGNERv8TpH
๐๏ธ Repos
1. GenAI Agents: https://t.co/mmvbJpOSlG
2. Microsoft's AI Agents for Beginners: https://t.co/zQLhaT3Wpl
3. Prompt Engineering Guide: https://t.co/wYFPPKX4H1
4. Hands-On Large Language Models: https://t.co/92ZZJh6MXG
5. AI Agents for Beginners: https://t.co/zQLhaT3Wpl
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/gvzfW6aKnf
8. Hands-On AI Engineering:https://t.co/DHTvNbpMVk
9. Awesome Generative AI Guide: https://t.co/jfjbl5CQvA
10. Designing Machine Learning Systems: https://t.co/KIV2X9uKQs
11. Machine Learning for Beginners from Microsoft: https://t.co/Gdl4oZxQEY
12. LLM Course: https://t.co/59QVZqGED0
๐บ๏ธ Guides
1. Google's Agent Whitepaper: https://t.co/Psy7vqkVR2
2. Google's Agent Companion: https://t.co/sdw5mZhsOM
3. Building Effective Agents by Anthropic: https://t.co/euyR1t8Dg0.
4. Claude Code Best Agentic Coding practices: https://t.co/psPsyWWMwH
5. OpenAI's Practical Guide to Building Agents: https://t.co/67B9XaLolZ
๐Books:
1. Understanding Deep Learning: https://t.co/j5xz5XfkFL
2. Building an LLM from Scratch: https://t.co/TX8BJPpxX0
3. The LLM Engineering Handbook: https://t.co/rSWCiuvZYW
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/m3Tq3vE6Go
5. Building Applications with AI Agents - Michael Albada: https://t.co/QM4mYlYdWh
6. AI Agents with MCP - Kyle Stratis: https://t.co/sIqEe430D6
7. AI Engineering: https://t.co/hs4bN4xFAV
๐ Papers
1. ReAct: https://t.co/k3tFy7pbvR
2. Generative Agents: https://t.co/yQp1Tjl94i.
3. Toolformer: https://t.co/RKBauj9GVX
4. Chain-of-Thought Prompting: https://t.co/fVqbr68wvt.
๐ง๐ซ Courses:
1. HuggingFace's Agent Course: https://t.co/OYgR6C8HNd
2. MCP with Anthropic: https://t.co/n5nnFc9DUC
3. Building Vector Databases with Pinecone: https://t.co/MLhJnfbdGG
4. Vector Databases from Embeddings to Apps: https://t.co/31zEvnwtfZ
5. Agent Memory: https://t.co/ldYc6RVmMj
Repost for your network โป๏ธ