👉 From Zero to AI Research Scientist Full Resources Guide This guide is for anybody with basic programming knowledge interested in becoming a Research Scientist in Deep Learning and NLP. 🔗 github.com/ahmedbahaaeldi…

👉 Introduction to Deep Learning by Massachusetts Institute of Technology (MIT) An efficient and high-intensity bootcamp designed to teach you the fundamentals of deep learning as quickly as possible. 🔗youtube.com/playlist?list=…

LLMOps, a new course with @GoogleCloud is available now. Learn Large Language Model Operations (LLMOps) best practices as you design and automate the steps to tune an LLM for a specific task and deploy it as a callable API. Learn more and enroll now: hubs.la/Q02gM4p70

👉 DeepLearn Implementation This repository contains implementation of some popular research papers on Natural Language Processing, Computer Vision, ML, and Deep Learning. 🔗github.com/GauravBh1010tt…

🔘 AI Course: Self-Driving Cars This course covers the most dominant paradigms of self-driving cars: modular pipeline-based approaches as well as deep-learning based end-to-end driving techniques. 🔗youtube.com/playlist?list=…

The #Mathematics of Transformers used in #LLMS Large Language Models: arxiv.org/abs/2312.10794 + Source for graphic (How Transformers Work): towardsdatascience.com/transformers-1… ————— #BigData #DataScience #AI #NLProc #NeuralNetworks #DeepLearning #MachineLearning #Algorithms #GPT3 #GPT4

#Microsoft #GenerativeAI #GitHub #NLP github.com/microsoft/gene…

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Build Your Own "Git" In C From Scratch -really great playlist, use this to get most out of this. -it's great if someone wants to understand how really "Git" works behind the scenes. -it would give you solid foundation for "Low level system programming". -don't watch completely,

blog.bytebytego.com/?r=70vuh&utm_c…

🚀 We just launched a service that turns any GitHub repo into an easy-to-understand tutorial. 🤔 Got a complex codebase you want to get your head around? It's dumb simple to use: 1. Paste the GitHub link. 2. Our AI figures out the important stuff and builds a tutorial. 3. In ~5

My brain broke when I read this paper. A tiny 7 Million parameter model just beat DeepSeek-R1, Gemini 2.5 pro, and o3-mini at reasoning on both ARG-AGI 1 and ARC-AGI 2. It's called Tiny Recursive Model (TRM) from Samsung. How can a model 10,000x smaller be smarter? Here's how

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