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An interactive, in-depth article explaining the physics and history of the beam engine, a key technology of the Industrial Revolution, from steam production to the weight of air.
A developer shares a code-generated interactive app for exploring different types of butterflies, emphasizing the calming effect of wing movements.
Tatsunori Hashimoto presents an excellent Stanford Online lecture on building LLMs from scratch.
A video tutorial implementing 7 beginner CUDA kernels from scratch to help learners build a solid foundation in GPU programming.
An immersive linear algebra textbook with interactive figures, covering vectors, matrices, determinants, eigenvalues, and more.
A tweet promotes a comprehensive blog post that explains the history of large language models, starting from the attention mechanism and distributed representations, aiming to demystify LLMs for readers.
A demonstration of training a vision-language model to play Snake using the FeynRL framework, illustrating the full training pipeline in an accessible manner.
Crash Course previews the five-episode miniseries 'Crash Course Futures of AI', exploring AI's development potential, societal impact, and how to prevent a rogue AI from taking over the world, underscoring the importance of beginning prediction and preparation now.
A Principal Engineer at Atlassian shares a completed 25-day Twitter thread series on system design scaling fundamentals, compiled into a single resource.
The Little Book of Reinforcement Learning, a concise introduction to RL with PyTorch implementations and supplementary material, has been shared on GitHub by Alexandre TL.
Starting a blog post series on modern RL algorithms from the ground up, Part 1 covers the REINFORCE estimator, deriving unbiased policy gradients and analyzing variance.
Introduces a tool that provides live visualizations and code for learning algorithms like Prim's, Dijkstra, and sorting, making concepts easier to understand.
An in-depth educational article explaining networking and the internet from first principles, covering packet switching, TCP, DNS, TLS, and how data travels across the globe.
Ramchand Kumaresan published a 934-page book teaching how to build every layer of an LLM from scratch, with 35 hands-on projects and a code companion.
A tweet recommends a series of explainer articles on LLM fundamentals, particularly 'Vectors are all you need', adding to a list of top learning resources.
An intuitive, visual introduction to information theory covering entropy, mutual information, and channel capacity, assuming only basic probability. The paper explains fundamental limits of compression and transmission.
The article, in video format, tells the story of Faraday laying the foundation of electromagnetism through experiments, Maxwell unifying them into four equations with mathematics, and the profound impact of this discovery on modern technology and understanding.
A web-based interactive simulator for crank-angle-resolved combustion engine dynamics, providing educational and engineering insights into engine behavior.
A highly recommended 4.5-hour GPU programming lesson on CUDA and ThunderKittens by Ben Spector, offering an in-depth, behind-the-scenes look at kernel optimization.
A resource aiming to present quantum electrodynamics in a more intuitive manner.