Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/kJDquHyiFj
2. LLMs from Scratch: https://t.co/0tVKf67e76
3. Agentic AI Overview (Stanford): https://t.co/F3eMqlxZhQ
4. Building and Evaluating Agents: https://t.co/p2wAwQjOmt
5. Building Effective Agents: https://t.co/soZEzoTyoW
6. Building Agents with MCP: https://t.co/7rXLH60Bzw
7. Building an Agent from Scratch: https://t.co/JVVEvlvEG9
8. Philo Agents: https://t.co/oALtKeDJqt
🗂️ Repos
1. GenAI Agents: https://t.co/SzAvw64rKv
2. Microsoft's AI Agents for Beginners: https://t.co/MYCOwSsWmT
3. Prompt Engineering Guide: https://t.co/zFZJT6UyaT
4. Hands-On Large Language Models: https://t.co/S5E4390jSM
5. AI Agents for Beginners: https://t.co/MYCOwSsWmT
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/mAb4b9KKjQ
8. Hands-On AI Engineering:https://t.co/2QvXB3WbrG
9. Awesome Generative AI Guide: https://t.co/dYaAsRfHYy
10. Designing Machine Learning Systems: https://t.co/jRxshvLITV
11. Machine Learning for Beginners from Microsoft: https://t.co/6u48FQmIbI
12. LLM Course: https://t.co/o0NnbEj9hp
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/cs0P2Tstgx
2. Google's Agent Companion: https://t.co/Qnv3PsJrSZ
3. Building Effective Agents by Anthropic: https://t.co/5ZfcMllgkf.
4. Claude Code Best Agentic Coding practices: https://t.co/zX9ep8EjaJ
5. OpenAI's Practical Guide to Building Agents: https://t.co/uwdBKessgs
📚Books:
1. Understanding Deep Learning: https://t.co/Rix5N43t8A
2. Building an LLM from Scratch: https://t.co/V20ES23rRA
3. The LLM Engineering Handbook: https://t.co/avpqPTzsSA
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/8bgDLtdE4s
5. Building Applications with AI Agents - Michael Albada: https://t.co/W70co414No
6. AI Agents with MCP - Kyle Stratis: https://t.co/vF8VqTe0q2
7. AI Engineering: https://t.co/eJrAoLMobr
📜 Papers
1. ReAct: https://t.co/SFgUispbnh
2. Generative Agents: https://t.co/q50bu1Phyi.
3. Toolformer: https://t.co/CFssbdApGi
4. Chain-of-Thought Prompting: https://t.co/n84jvdy07d.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/yhVP0jbUgY
2. MCP with Anthropic: https://t.co/w9LxesWVtZ
3. Building Vector Databases with Pinecone: https://t.co/GeI4yar1S9
4. Vector Databases from Embeddings to Apps: https://t.co/eMrFYZaqiF
5. Agent Memory: https://t.co/hjbH72PYAT
Repost for your network ♻️
This is insane!!
An MIT student mastered an entire field in 48 hours using NotebookLM.
Same tool everyone has but used a completely different strategy.
Here's exactly how he did it: ↓
🚨BREAKING: The book you have been postponing for 3 years can be finished in 48 hours.
The only thing that was stopping you was not knowing these 9 Claude prompts:
(Bookmark 🔖 before they realize)
🚨BREAKING: GOODBYE POWERPOINT forever.
Claude just collapsed 5 hours of presentation building into 100 seconds completely free.
10 prompts to go from completely unprepared to completely untouchable in every meeting:
(Save this before it goes viral):
BREAKING: I stopped reading textbooks cover to cover.
NotebookLM now teaches me directly from PDFs and notes.
Here are 6 prompts that turned documents into lessons 👇
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 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
🗂️ 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
🗺️ 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
📚Books:
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
📜 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.
🧑🏫 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 ♻️
Unauthorized, without ticket passengers have boarded the train. They are shouting and disturbing authorized passengers
Train:14014
Coach: S1
Seat:1
Already sent details in DM
@RailMinIndia@RailwaySeva@WesternRly
@RailwaySeva@drm_dli There are unauthorized passengers who boarded the train, take immediate cognizance of this,they are shouting it is extremely uncomfortable for passengers with tickets
Dear @RailwaySeva@RailMinIndia@drm_dli - I paid high premium to book a ticket and my seat is almost hanging from the train wall. Can the seat be changed?