Granica Screen already delivers PII detection and masking with state-of-the-art accuracy, optimized for large scale data sets used to train and fine tune models, especially LLMs.
Our product teams are hard at work enhancing Screen to detect and measure identity-based bias and toxicity within not only training data, but also inferencing data and LLM outputs. These new capabilities will help ensure your AI models perform ethically and fairly. You can read more about them in this blog "Bias and Toxicity Detection for LLM-Powered Applications".
Request early access to bias and toxicity defense using this form and our product team will be in touch.
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