Argilla
Argilla is a collaboration tool for AI engineers and domain experts to help them build high-quality data sets for projects.
Log in to account admin, password admin123 Argilla can be used to collect manual feedback for various AI projects, such as traditional natural language processing (text classification, named entity recognition, etc.), large language models (RAG, preference tuning, etc.), or multimodal models (text-generated images, etc.). Argilla's programmatic approach allows you to build workflows for continuous evaluation and model improvement. Argilla's goal is to ensure that your data work is effective by quickly iterating the right data and models. Features/Highlights: - Improve the quality of artificial intelligence output by improving data quality: computing costs are high, and output quality is crucial. We help you focus on data to address the root causes of both problems in one fell swoop. Argilla helps you achieve and maintain high data quality standards, which means you can improve the quality of artificial intelligence output. - Control your data and models: Most AI tools are black-box operations. Argilla is different. We firmly believe that you should have your own data and models at the same time. So we provide you with all the tools your team needs to manage and maintain data and models in the way that best suits you. - Increase efficiency by quickly iterating the right data and models: Collecting data is a time-consuming process. Argilla provides a tool to help you interact with data in a more interesting way. This means you can quickly and easily label data using filters, AI feedback suggestions, and semantic searches. This way, you can focus on training the model and monitoring its performance.
