Скачать или смотреть Ultimate AI Math Guide: Neural Networks & Transformers

🧠 *Unlock the Secrets of AI’s Cutting-Edge Research!*
Ever wondered how GPT and AlphaFold crack complex problems? This video *deciphers the math, algorithms, and physics* behind modern AI—straight from the labs of top institutions! Whether you’re a data scientist or AI enthusiast, this deep dive reveals *transformer architectures**, **adaptive optimization (AdamW vs. K-FAC)**, and the **Information Bottleneck Theory* that literally lets models “filter noise like a sieve.”

*What You’ll Learn:*
🔹 Break down *transformer self-attention* with matrix magic 🧮
🔹 Master *gradient descent* twists (AdamW, K-FAC) for faster, smarter training ⚙️
🔹 Explore *information compression* in neural networks & why it still baffles researchers 🧠
🔹 Debate the *ethics of giant models* + how *neural architecture search* makes AI greener 🌍
🔹 Get links to *open-source projects* and interactive demos to experiment!

**Advanced but accessible**—perfect for learners who’ve mastered basics and want to **grapple with AI’s frontiers**. Ready to revolutionize your understanding? 💡

👉 *LIKE* if you’re obsessed with AI’s inner workings, *SUBSCRIBE* for more science-driven tutorials, and *COMMENT* your take on the future of machine learning! Let’s decode the code behind the chaos! 🚀

#AIFundamentals #TransformerArchitecture #MachineLearning #AIResearch #DeepLearning #NeuralNetworks #EthicalAI #Python #TensorFlow #PyTorch
Read more here: https://arxiv.org/pdf/2508.11408v1.pdf