Modern AI approaches require massive labeled training datasets to learn from, which traditionally rely on armies of human annotators to label by hand. In Snorkel Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process
Snorkel Predictive ML is a comprehensive platform designed to expedite the development and deployment of predictive models for classification and information extraction tasks. By leveraging programmatic data labeling and fostering efficient collaboration between data scientists and subject matter experts (SMEs), Snorkel Predictive ML streamlines the machine learning (ML) workflow, reducing the time and cost associated with manual data annotation.
Snorkel Evaluate is a comprehensive suite designed to assess and enhance the performance of generative AI models, ensuring they meet production standards. By providing robust evaluation tools, it enables organizations to move beyond superficial assessments and rigorously validate their AI pipelines before deployment.
Snorkel is a technology company that specializes in data-centric artificial intelligence. Their platform focuses on enabling organizations to develop and manage training data for machine learning models efficiently. Snorkel provides tools to automate the labeling process, generate training data, and improve model accuracy using weak supervision techniques. This approach helps reduce the time and resources typically required for data labeling. By leveraging Snorkel, businesses can accelerate AI development and deployment across various applications.