AI research, one topic at a time
Choose a subject, build the foundations, and follow the ideas into current research. Each topic has a suggested starting path and a collection of interactive paper explainers.
LLMs
Explore how language models learn, reason, and retrieve knowledge, with interactive explanations of BERT, GPT-3, RAG, and efficient inference.
Explore the topic →14 explainersDiffusion
Understand diffusion models through interactive explainers of DDPM, DDIM, latent diffusion, score matching, guidance, and flow matching.
Explore the topic →17 explainersRL & alignment
Learn reinforcement learning and alignment through interactive explanations of DQN, PPO, RLHF, DPO, world models, and robot policies.
Explore the topic →13 explainersArchitecture
Explore transformers, attention, state space models, and efficient sequence architectures through interactive research paper explainers.
Explore the topic →13 explainersTraining
Understand Adam, normalization, LoRA, QLoRA, scaling laws, and distributed training with interactive machine learning paper explainers.
Explore the topic →3 explainersMultimodal
Explore CLIP, Flamingo, and Whisper with interactive explainers of image-text learning, visual language models, and speech recognition.
Explore the topic →13 explainersVision
Learn computer vision through interactive explanations of ResNet, Vision Transformers, masked autoencoders, segmentation, and 3D representations.
Explore the topic →4 explainersTheory
Build intuition for VAEs, GANs, neural differential equations, and quantization through interactive explanations of foundational AI papers.
Explore the topic →