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The best way to learn about LLMs is to read the actual papers that highlight the fundamental ideas behinds LLMs. I'd prob first start off by learning about the attention mechanism which can be detailed in the following paper and try to implement a

My Favorite AI & ML Books That Shaped My Learning Over the years, I’ve read tons of books in AI, ML, and LLMs — but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst

Mastering LinkedLists: Key Questions You Should Know Easy: 📌 Reverse Linked List: https://lnkd.in/g7qP9-YU 📌 Merge Two Sorted Lists: https://lnkd.in/gRfC6yyF 📌 Remove Nth Node From End of List: https://lnkd.in/gGnGF75X 📌 Delete Node in a Linked

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗜 𝗺𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 2025? Learn AI from the ground up with these 𝗙𝗥𝗘𝗘 YouTube channels that make it all crystal clear Let’s be honest—YouTube can teach you more about AI than a lot of university degrees, From

If I were learning RAG from scratch in 2025... here's exactly how I'd do it. But here I bring you the ultimate resource list for absolutely no cost. RAG is one of the most practical, production-ready LLM patterns today. Here's All you need to get s

Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment link: https://bair.berkeley.edu/blog/2025/03/25/rl-av-smoothing/

Day 1/100 : FREE AI Resource Sharing Topic of Day: History Of Artificial Intelligence(AI) Books ↳"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig https://lnkd.in/gzSCYnf9 ↳ "The Master Algorithm: How the Quest for t

𝐖𝐞𝐞𝐤𝐥𝐲 𝐀𝐈 𝐑𝐨𝐮𝐧𝐝𝐮𝐩: 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧𝐬, 𝐃𝐚𝐭𝐚 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐍𝐞𝐰 𝐒𝐨𝐜𝐢𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 🤖 1. 𝗞𝘆𝘂𝘁𝗮𝗶 𝗟𝗮𝗯𝘀' 𝗠𝗼𝘀𝗵𝗶: An open-source multimodal model with advanced real-ti

Gemini abused human, and here I am learning responsible ai from google ! Its scary though! what's your take on this?

LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance