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Foundation models refer to large, pre-trained AI models that serve as the basis for a wide range of downstream tasks. Some generate text. Others can classify images. These models train on vast amounts of diverse data, and data scientists can fine-tune them to specific use cases, making them valuable for enterprises looking to deploy AI quickly and effectively across multiple domains.
All articles on Foundation Models
Generative AI essentials: what everyone needs to know about GenAI
Experts named generative AI as the most transformative technology of the decade. What is genAI, how does it work and why does it matter?
August 16, 2023
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Beyond prompting: getting production quality LLM performance with Snorkel Flow
As enterprises look toward deploying LLM-powered, business-critical applications, they’re learning to use strategies beyond prompting.
August 9, 2023
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How AI and foundation models improve email surveillance for banks
Recent developments in AI tools have made email surveillance for banks better than ever. See how foundation models and Snorkel Flow can help.
August 8, 2023
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Getting better performance from foundation models (with less data)
Getting better performance from foundation models (with less data)
August 4, 2023
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Data fuels enterprise AI value: 6 takeaways from the Gartner Hype Cycle for Artificial Intelligence, 2023
GenAI may be the most transformative technology of the past decade but data is where enterprises are able to realize real value from AI today.
August 2, 2023
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GenAI most impactful tech of the decade | Gartner AI Hype Cycle
Generative AI is at peak hype and poised to dive into the “trough of despair,” according to the 2023 Gartner® Hype Cycle™ for AI.
July 24, 2023
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How we built better GenAI with programmatic data development
We used weak supervision to programmatically curate instruction tuning data for open-source LLMs to build a better GenAI.
July 19, 2023
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Snorkel Flow Summer 2023: faster, easier and more secure
This release eases Snorkel Flow application creation process and tightens the iteration loop. It also upgrades our security certifications.
July 14, 2023
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The future of large language models is faster and more robust
Snorkel and affiliated academic labs have been hard at work reducing how computationally expensive large language models are.
June 29, 2023
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LLMs high priority for enterprise data science, but concerns remain
Enterprises—especially the world’s largest—are excited to use large language models, but they want to fine-tune them on proprietary data.
June 23, 2023
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Sambanova on using LLMs to squeeze value from business data
Stefano Lindt presents “Leveraging NLP to Extract Value From Business Data” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.
June 20, 2023
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How Grammarly strives for superhuman communication assistance
Grammarly’s Timo Mertens presents “Toward Superhuman Communication Assistance” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.
June 14, 2023
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The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond
The Future of Data-Centric AI showcased customer to successes, took a deep look at Snorkel Flow, and announced two new solutions.
June 10, 2023
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Future of Data-Centric AI day 1: LLMs changed the world
Day 1 of The Future of Data-Centric AI virtual conference 2023 featured the creator of Spark, the first U.S. Chief Data Scientist, and others.
June 8, 2023
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How to import Databricks data into Snorkel Flow
Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector.
June 2, 2023
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How MLCommons is democratizing data with public datasets
Peter Mattson, Google senior staff engineer and president of MLCommons.org, explained MLCommons at The Future of Data-Centric AI in 2022.
May 31, 2023
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Large language models: their history, capabilities and limitations
Large language models have enormous potential. But what are they? Where did they come from? And how can you make them work better?
May 25, 2023
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Use your data to build your AI moat: The Future of Data-Centric AI 2023
Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023 free virtual conference.
May 4, 2023
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Redesigning Snorkel’s interactive machine learning systems
To empower our enterprise customers, we redesigned the ML systems behind Snorkel Flow to make sure we were meeting customer needs.
May 3, 2023
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AI for banking in the era of ChatGPT
Forward-looking companies in finance, including banks, have looked to technology to meet challenges and are reaping the rewards of doing so.
April 20, 2023
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AMA technique: a trick to build systems with foundation models
Simran Arora is a machine learning researcher at Stanford University. She presented “Ask Me Anything: How are Foundation Models Changing the Way We Build Software” at Snorkel AI’s Foundation Model Virtual Summit 2023.
April 13, 2023
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Snorkel AI x Hugging Face: unlock foundation models for enterprises
Snorkel AI teamed up with Hugging Face to provide enterprises with even more flexibility and choice as they develop AI applications.
April 6, 2023
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Boost foundation model results with linear probing and fine-tuning
Ananya Kumar, Stanford Ph.D. student, explains methods to improve foundation model performance, including linear probing and fine-tuning.
April 5, 2023
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Practical solutions: enterprise value from foundation models
Jimmy Lin is an NLP product lead at SambaNova Systems. He presented “A Practical Approach to Delivering Enterprise Value with Foundation Models” at Snorkel AI’s 2023 Foundation Model Virtual Summit.
March 31, 2023
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Snorkel Flow Spring 2023: warm starts and foundation models
Snorkel Flow’s Spring 2023 release focuses on adapting foundation models for enterprise use—including fine-tuning and additional features.
March 30, 2023
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Adverse drug events: how to spot them with machine learning
Physician notes and other sources of unstructured data can offer insight into drugs’ negative side effects. Here’s how modern machine learning tools can help turn all that data into a useful resource.
March 29, 2023
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New research expands limitations of weak supervision, foundation models
Snorkel AI researchers continue to push the frontier of machine learning, as demonstrated by the 18 research papers recently added to our website.
March 24, 2023
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Research roundup: dive into the latest foundation model research
Snorkel AI CEO and co-founder Alex Ratner recently spoke with five Snorkel researchers about their foundation model research.
March 23, 2023
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