Alfred: Building Training Data with Foundation Models and Weak Supervision - Snorkel AI

Explore Alfred, an open-source tool that revolutionizes data labeling by harnessing the power of foundation models and weak supervision. Discover how this innovative solution combines human expertise with AI to create high-quality training datasets for academic researchers. Learn about the tool's ability to overcome data annotation challenges and enhance machine learning projects. Gain insights into Snorkel AI's ongoing efforts in Data-Centric AI research and development. Delve into the practical applications and benefits of Alfred in streamlining the data labeling process. Access additional resources, including a comprehensive blog post by Peilin Yu on Snorkel AI's website, to deepen your understanding of this cutting-edge technology.

Alfred: An Open-Source Tool for Building Training Data with Foundation Models and Weak Supervision