Dioptra is a versatile tool for handling and organizing data, built specifically for computer vision, natural language processing (NLP), and large language models (LLMs). It helps ..
Dioptra is a versatile tool for handling and organizing data, built specifically for computer vision, natural language processing (NLP), and large language models (LLMs). It helps you easily organize all your unlabelled data, keep track of metadata, spot model errors, and even works smoothly with your annotation and retraining systems.
How to use
1. Pick out the most important unlabeled data to get better domain coverage and boost your model's performance. 2. Keep your metadata safe and sound in Dioptra, so your data stays exactly where you want it. 3. Use Dioptra's data tools to dig into why your models are failing or going backwards. 4. Use active learning miners to find and select the most critical unlabeled data. 5. Easily link Dioptra with your labeling and retraining systems using its APIs.
Useful cases
Train your models three times faster.
Improve model accuracy, especially for complex situations.
Core features
Labeling and retraining integration: Connect Dioptra with your current labeling and retraining systems.
Diagnostics: Use our data-focused tools to figure out why your models are failing and what's causing setbacks.
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