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Accelerating predictive task time to value with generative AI

Generative AI can write poems, recite common knowledge, and extract information. GenAI can also help quickly build predictive pipelines.

August 17, 2023
August 4, 2023

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

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

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

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

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.

Dr. Bubbles, Snorkel AI's mascot
May 31, 2023

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

Stanford professor on data-centric AI for healthcare and medicine

Stanford assistant professor James Zou, presents “Responsible Data-Centric AI for Healthcare and Medicine” at The Future of Data-Centric AI.

Dr. Bubbles, Snorkel AI's mascot
May 18, 2023

Poster presenters compete to win desktop GPU

Snorkel AI has accepted the first batch of applications for its first annual virtual poster competition. But there’s still time to add yours to the mix.

May 9, 2023

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.

Devang Sachdev portrayed
May 4, 2023

Out of distribution blindness: why to fix it and how energy can help

Sharon Li is an assistant professor at the University of Wisconsin-Madison. She presented “Detecting Data Distributional Shift: Challenges and Opportunities” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. The talk covered a novel approach for handling out-of-distribution objects.

Dr. Bubbles, Snorkel AI's mascot
May 3, 2023

Harvard professor: DataPerf and AI’s need for data benchmarks

Harvard Professor Vijay Janapa Reddi’s presentation: “DataPerf: Benchmarks for data” from Snorkel AI’s 2022 Future of Data-Centric AI event.

Dr. Bubbles, Snorkel AI's mascot
April 25, 2023

Discovering climate change impact with Snorkel-enabled NLP

Prasanna Balaprakash, research and development lead from Argonne National Laboratory gave a presentation entitled “Extracting the Impact of Climate Change from Scientific Literature using Snorkel-Enabled NLP” at Snorkel AI’s Future of Data-Centric AI Workshop in August, 2022.

Dr. Bubbles, Snorkel AI's mascot
April 18, 2023

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.

Dr. Bubbles, Snorkel AI's mascot
April 13, 2023
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