Structured Data & Forecasting
Tables, tabular classification and regression, time-series forecasting, anomaly detection, recommender systems, graph learning, and optimization.
Tasks in Structured Data & Forecasting
Tabular Classification
Classifying structured rows and columns.
Tabular Regression
Predicting continuous values from structured data.
Time-Series Forecasting
Predicting future values from temporal data.
Time-Series Classification
Classifying temporal sequences.
Time-Series Anomaly Detection
Finding anomalies in time-series data.
Forecasting Foundation Models
General-purpose models for forecasting tasks.
Causal Inference
Estimating causal effects and interventions.
Recommender Systems
Ranking or recommending items to users.
Node Classification
Classifying nodes in graphs.
Link Prediction
Predicting missing or future graph edges.
Graph Classification
Classifying entire graphs.
Knowledge Graph Completion
Predicting missing facts in knowledge graphs.
Optimization
Solving constrained or combinatorial optimization problems.
Explore Other Areas
Language & Knowledge
Language understanding, retrieval, QA, RAG, factuality, information extraction, multilingual evaluation, and knowledge-heavy reasoning.
Vision & Documents
Images, video frames, OCR, layout, tables, document parsing, detection, segmentation, and visual anomaly detection.
Audio & Speech
ASR, TTS, speaker intelligence, music, sound events, audio-language understanding, and audio safety.
Multimodal Media
Cross-modal image, text, audio, video, and 3D tasks where input and output span multiple media types.