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Running ML models in the browser with ONNX Runtime Web: a practical guide

FaceVision does face detection, recognition and liveness checks without sending a single frame to a server, because every model runs in the browser through ONNX Runtime Web.

  • FaceVision runs ML models in the browser without sending data to a server
  • ONNX Runtime Web facilitates model execution in the browser
  • Privacy-focused design stores only vector embeddings in FastAPI and PostgreSQL

Ten fine-tuning mistakes I see students make (and made myself)

I built FineTune Studio after making most of these mistakes on my own runs. They are not exotic. They are the difference between "I fine-tuned a model" on a resume and "I fine-tuned a model and here…

  • Always start with a baseline model to compare fine-tuning results.
  • Use validated data for training, not unvalidated data, to avoid errors.
  • Define evaluation metrics and held-out sets before training to guide experimentation.

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