12 categories of AI models, reviewed and rated by people who build with them.
Identify rare items, events, or observations that differ significantly from the majority of data.
Assist with software development tasks such as writing, completing, and debugging code.
Enables machines to interpret and understand visual information such as images and video.
Generate new data similar to a training set across text, image, audio, and video.
Operate on graph-structured data, learning from nodes, edges, and their relationships.
Handle and integrate multiple input/output types such as text, images, and audio simultaneously.
Focuses on the interaction between computers and human language. NLP models understand, generate, and translate text.
Suggest relevant items to users based on preferences, history, and behavior.
Agents learn optimal behavior by interacting with an environment and maximizing reward.
Using AI to control mechanical systems and robots, often with real-time decision-making.
Analyzing, transcribing, generating, or understanding audio and speech signals.
Analyze temporal data to predict future values from historical patterns.