Experiments

Three interaction shapes: typed text, an uploaded image, and labels you invent at runtime. Each page loads its model only after you ask.

• Review sentiment analysis

  Classify a restaurant review as positive or negative, without sending a single character to a server.

• Image classification

  Drop in a photo and get the top five ImageNet labels, computed on your own machine.

• Zero-shot classification

  Invent your own categories and classify text into them, with no training data and no fine-tuning.

• Semantic search

  Search a handful of documents by meaning rather than by keyword, with the whole index built in your tab.

• Object detection

  Find every object in a photo and draw a box around it, with the boxes computed on your own machine.

• Translation

  Translate English into Spanish word by word, with the whole model running on your machine.

• Speech recognition

  Transcribe English speech to text on your own machine, with the words appearing as the model decodes them.