Introduces Data-centric Foundation Model Development to bridge the adaptation and deployment gaps between foundation models and enterprise AI
Snorkel AI introduced Data-centric Foundation Model Development for enterprises. (Graphic: Business Wire)
Snorkel AI introduced Data-centric Foundation Model Development for enterprises. (Graphic: Business Wire)

SAN FRANCISCO–()–Snorkel AI, the data-centric AI platform company, today introduced Data-centric Foundation Model Development for enterprises to unlock complex, performance-critical use cases with GPT-3, RoBERTa, T5, and other foundation models. With this launch, enterprise data science and machine learning teams can overcome adaptation and deployment challenges by creating large, domain-specific datasets to fine-tune foundation models and using them to build smaller, specialized models deployable within governance and cost constraints. New capabilities for Data-centric Foundation Model Development are available within Snorkel Flow, the company’s flagship platform, in preview. Visit here to join the virtual launch event at 10 AM PT on November 22, 2022.

Foundation models such as GPT-3, DALL-E-2, Stable Diffusion, and more offer a lot of promise for generative, creative, and exploratory tasks. But enterprises are still nowhere close to deploying foundation models in production for complex, performance-critical NLP and other automation use cases. Enterprises need large volumes of domain- and task-specific labeled training data to adapt foundation models for domain-specific use. Creating these high-quality training datasets with traditional, manual data labeling approaches is painfully slow and expensive. Moreover, foundation models are incredibly costly to develop and maintain and pose governance constraints when deploying in production.
These challenges must be addressed before enterprises can reap the benefits of foundation models. Snorkel Flow’s Data-centric Foundation Management Development is a new paradigm for enterprise AI/ML teams to overcome the adaptation and deployment challenges currently blocking them from using foundation models to accelerate AI development.
Using early versions of Data-centric Foundation Management Development, AI/ML teams have built and deployed highly-accurate NLP applications in days:
“With over 500 hours of content created on YouTube every minute, we need to constantly and accurately categorize billions of videos to make sure we fully understand the context of videos so that advertisers can be sure they are running their ads on brand suitable content,” said Jackie Swansburg Paulino, Chief Product Officer at Pixability. “With Snorkel Flow, we can apply data-centric workflows to distill knowledge from foundation models and build high-cardinality classification models with more than 90% accuracy in days.”
Enterprise Foundation Model Management Suite features include:
“Enterprises have struggled to harness the power of foundation models like GPT-3 and DALL-E due to fundamental adaptation and deployment challenges. To work in real enterprise use cases, foundation models need to be adapted using task-specific training data and need to clear major deployment challenges around cost and governance,” said Alex Ratner, CEO and co-founder at Snorkel AI. “Snorkel Flow’s unique data-centric approach provides the necessary bridge between foundation models and enterprise AI, solving the adaptation and deployment challenges so enterprises can achieve real value from foundation models.”
Customers can request a demo or visit our blog to learn more.
About Snorkel AI
Founded by a team spun out of the Stanford AI Lab, Snorkel AI makes AI application development fast and practical by unlocking the power of machine learning without the bottleneck of manually-labeled training data. Snorkel Flow is the first data-centric AI platform powered by programmatic labeling. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners and funds and accounts managed by BlackRock, the company is based in Palo Alto. For more information on Snorkel AI, please visit: https://www.snorkel.ai/ or follow @SnorkelAI.
Media Contact:
Angela Baldwin
Baldwin PR on behalf of Snorkel AI
angela@baldwinprandmarketing.com
Media Contact:
Angela Baldwin
Baldwin PR on behalf of Snorkel AI
angela@baldwinprandmarketing.com

source