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OpenAI releases open-source model OpenAI Privacy Filter, capable of detecting and de-identifying personal privacy information in text
Odaily Planet Daily News reports that OpenAI today released the open-source model OpenAI Privacy Filter, designed to detect and redline personal identifiable information (PII) in text. The model has 1.5 billion total parameters and 50 million active parameters, supporting a context window of up to 128k tokens. OpenAI Privacy Filter uses a bidirectional token classification architecture capable of identifying eight types of information, including personal names, addresses, emails, phone numbers, URLs, dates, accounts, and keys, achieving a 96% F1 score on the PII-Masking-300k benchmark. Currently, the model is available under the Apache 2.0 license on Hugging Face and GitHub, allowing developers to deploy locally and fine-tune.