Prodigy · Prodigy · An annotation tool for AI, Machine Learning & NLP

🚀 Dive into the world of AI, Machine Learning & NLP with Prodigy! 🤖✨ An all-encompassing annotation tool for tasks like NER, text classification, object detection & more. Features model training, A/B evaluation, task routing & active learning for seamless integration into Python-based workflows. 🌟 #AI #MachineLearning #NLP #ProdigyAI 🌐

ProdigyFeatures include Named Entity Recognition, Span Categorization, Text Classification, Dependencies & Relations, Computer Vision, and Audio & Video labeling.
It offers Model Training allowing the quick training of new models and A/B Evaluation for rapid and rigorous experiments.
Task Routing is available for distributing annotation tasks efficiently and Prompt Engineering through tests and tournaments.
Prodigy Teams enables efficient machine teaching powered by active learning, suitable for data scientists to do annotations themselves.
Prodigy utilizes an active learning system, focusing on annotating examples the model doesn't know, enhancing user experience.
It allows for easy transition from prototype to production by exporting trained models as versioned Python packages.
Prodigy has been praised for its customization options, aiding in easy creation of tasks, and providing a great return on investment.
Prodigy is fully scriptable, designed to seamlessly integrate into existing Python-based workflows, with a rich Python API and command-line integration.