MIT 6.S191 (2024): Recurrent Neural Networks, Transformers, and Attention Share: Download MP3 Similar Tracks MIT 6.S191 (2024): Convolutional Neural Networks Alexander Amini Visualizing transformers and attention | Talk for TNG Big Tech Day '24 Grant Sanderson MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Alexander Amini Recurrent Neural Networks (RNNs), Clearly Explained!!! StatQuest with Josh Starmer Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) Stanford Online MIT 6.S191 (Google): Large Language Models Alexander Amini The Most Important Algorithm in Machine Learning Artem Kirsanov Lecture 1: Introduction to Superposition MIT OpenCourseWare MIT Introduction to Deep Learning | 6.S191 Alexander Amini Attention in transformers, step-by-step | DL6 3Blue1Brown MIT 6.S191: Language Models and New Frontiers Alexander Amini MIT 6.S191: Convolutional Neural Networks Alexander Amini MIT Introduction to Deep Learning (2024) | 6.S191 Alexander Amini MIT 6.S191 (2024): Deep Generative Modeling Alexander Amini Transformers (how LLMs work) explained visually | DL5 3Blue1Brown MIT 6.S191 (Liquid AI): Large Language Models Alexander Amini MIT 6.S191 (2024): Reinforcement Learning Alexander Amini Sequence Models Complete Course Explore The Knowledge This is why Deep Learning is really weird. Machine Learning Street Talk But what is a neural network? | Deep learning chapter 1 3Blue1Brown
