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How do our brains work? 🧠 From 302 neurons to 86 billion, brains come in all sizes. Unlocking their secrets could lead to breakthroughs in our understanding of memory, disease, and more. Join Google Research on this journey of brain mapping: youtube.com/watch?v=VSG3_J…

Announcing DataGemma, a set of open models that utilize Data Commons through Retrieval Interleaved Generation (RIG) & Retrieval Augmented Generation (RAG) to ground LLMs in real-world data for fact-checking, responsible AI development & more. Read more at goo.gle/datagemma

here is o1, a series of our most capable and aligned models yet: openai.com/index/learning… o1 is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it.

Backpropagation by hand✍️ ~ spreadsheet. I designed this exercise to show it is possible to calculate backpropagation for a non-trivial, three-layer network by hand. p.s. I just started this community to share useful resources on AI math. 👇 Join the community.

The Transformers architecture clearly explained 👇🏻

Recurrent Neural Network (RNN) by hand ✍️ Excel ~ I designed this exercise to practice calculating a small RNN by hand. I also made a medium and a large version to show how an RNN scales. 👇Join the 'AI Math' community. Download xlsx.

I invented a new technique for Cursor. Using this, I reduced AI hallucinations and assumptions by 85%. I am calling it “knowledge base” technique. Here’s how it works: ↓

Learn how LLMs work under the hood! This is the best interactive website to learn how LLMs work. It combines clear, step-by-step explanations with dynamic 3D visualizations for an intuitive learning experience.