Snorkel AI
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About
Snorkel AI offers a data-centric platform called Snorkel Flow that enables enterprises to programmatically label and curate data for AI model development at speeds significantly faster than traditional methods. It focuses on various applications, including computer vision, data labeling, generative AI, LLM fine-tuning, and model distillation. The platform is engineered to streamline building specialized AI systems efficiently, tailored to unique business requirements. By leveraging prior knowledge and weak supervision, Snorkel Flow helps in creating and improving high-quality training data while ensuring that the complexity of the tasks does not impede the efficacious training of AI models. The tool is widely recognized in industries like banking, healthcare, and telecom, facilitating various applications such as document classification and conversational AI. Snorkel AI is also backed by extensive research from the Stanford AI Lab and has established collaborations with leading companies.
Platform
Task
Features
• programmatic data labeling
• accelerated data curation
• generative ai application development
• large language model fine-tuning
• model distillation for efficiency
• enterprise-tailored ai solutions
• multi-persona collaboration
• integration with existing ai stacks
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