Capabilities
A bento layout that lets one feature dominate while the rest share equal weight — scan the full product surface in under ten seconds.
The transformer-xl-v3 model parses user intent, extracts entities, and carries conversation context across 16k tokens — powering the core of every search, assistant, and summarization feature.
Identify objects, scenes, and concepts across 10k+ categories with the resnet-152 backbone.
Transcribe audio with speaker diarization and punctuation using wav2vec 2.0 in 8 languages.
Pull printed and handwritten text from documents with layout and reading-order preservation.
Real-time translation across 100+ language pairs with domain adaptation for finance, health, and legal.
Every model ships with autoscaling GPU endpoints, request batching, and per-token billing out of the box.