The Unix and Internet Fundamentals HOWTO provides a comprehensive introduction to Unix operating systems and internet concepts, explaining key tools, protocols, and foundational principles for beginners.
The Transformer Explainer is an interactive tool that visualizes the inner workings of transformer models. It helps users understand how attention mechanisms function by showing how different tokens in a sentence influence each other during model processing. The tool allows for real-time exploration of various transformer layers and their impact on outputs.
Andrej Karpathy's YouTube channel features videos related to artificial intelligence, deep learning, and programming, with a focus on explaining complex AI concepts in an accessible way. Karpathy, a renowned AI researcher, shares insights from his work in neural networks, self-driving cars, and deep learning education, along with coding tutorials and thought-provoking discussions about AI's future.
Curated papers, articles, and blogs on data science & machine learning in production from various companies.
The CNN Explainer is an interactive tool that visualizes the inner workings of Convolutional Neural Networks (CNNs). It helps users understand how CNNs process images by showing the transformations at each layer, such as feature extraction and pooling operations. This tool provides a hands-on way to explore how CNNs classify images and detect patterns.
Chatbot Arena is a free AI chat to compare & test best AI chatbots.
The Diffusion Explainer offers a visualization of how diffusion models, like Stable Diffusion, work to generate images. It demonstrates the step-by-step process of denoising and refining images, showcasing how random noise is transformed into structured content through iterative steps.
Distill is dedicated to clear explanations of machine learning.
FloydHub's blog offers insights into AI trends, cloud computing, model deployment, and challenges in the industry. Articles range from practical tutorials to interviews with industry experts.
On HuggingFace Papers, users can vote on and comment on research papers to engage with the community. Voting helps highlight the most impactful papers, while comments allow for discussions and feedback on specific research topics.
Lilian Weng is documenting on her blog her learning notes on topics like reinforcement learning, large language models (LLMs), diffusion models, and adversarial attacks.
Maxime Labonne's blog features technical articles on large language models, graph neural networks, and optimization, focusing on fine-tuning techniques, quantization, and reinforcement learning, often with interactive Colab notebooks.
Michael Webb's website focuses on his research in artificial intelligence, labor markets, and economic growth.
Publication-ready NN-architecture schematics.
People + AI Research (PAIR) by Google focuses on making AI more human-centered, ensuring machine learning systems are responsible, understandable, and participatory. The team conducts research, creates tools, and engages with diverse communities to address challenges in AI design, fairness, and trust. They provide resources like a guidebook, interactive AI explorables, and podcasts.
R2D3 focuses on explaining key machine learning concepts, particularly in visualizing and understanding the workings of algorithms such as decision trees and neural networks. It offers an interactive experience to help users grasp complex ideas through visualizations, emphasizing the relationship between data and models.
Regular-Expressions.info is a comprehensive resource for learning and using regular expressions, offering tutorials, examples, and reference guides.
The "Ahead of AI" archive by Sebastian Raschka features a collection of top articles from the author, with crystal clear explanations about today's AI fundations.
The TensorFlow Playground is an interactive tool for visualizing and experimenting with neural networks directly in your browser.