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Natural Language Processing (NLP) is the branch of AI that enables machines to understand, interpret, and generate human language. NLP applications include chatbots, virtual assistants, sentiment analysis, document processing, and more. Effective NLP models rely on high-quality text data and annotations.
All articles on NLP
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
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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 AI and Together AI empower enterprises to build proprietary LLMs
Snorkel AI announced a strategic partnership with Together AI to enable organizations to build their own proprietary LLMs on their data.
July 17, 2023
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Google experts on practical paths to data-centricity in applied AI
Google experts Abhishek Ratna and Robert Crowe discuss practical paths to data-centricity in applied AI at The Future of Data-Centric AI ’22.
July 5, 2023
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How to build reusable data cleaning pipelines with scikit-learn
State Farm senior data scientist Jason Goldfarb presented “Reusable Data Cleaning Pipelines in Python” at the Future of Data-Centric AI 2022.
July 3, 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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Claypot AI CEO on why you should deploy models the hard way
Claypot AI CEO Chip Huyen presented “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI 2022.
June 27, 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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Black Swan Data CTO on how to tackle petabyte-level learning
Peter Davio, CTO at Black Swan Data, presented “Petabyte-Level Learning” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.
June 15, 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 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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Luminaries and enterprise veterans to speak at Future of Data-centric AI
The Future of Data-centric AI will bring together a star-studded lineup of expert speakers from ML, AI, and data science.
May 24, 2023
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Dataset cartography: a data science lesson from Capital One
William Huang, senior data scientist at Capital One, discussed “dataset cartography” and its value at the Future of Data-Centric AI 2022.
May 10, 2023
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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
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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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Debugging data to build better and more fair ML applications
Dr. Ce Zhang is an associate professor in Computer Science at ETH Zürich. He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022.
April 28, 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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Uniphore chooses Snorkel Flow to accelerate conversational AI
Uniphore, a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to accelerate AI development.
April 19, 2023
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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.
April 18, 2023
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