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Large language models (LLMs) are powerful neural networks trained on vast text datasets to understand and generate written language. They perform a wide variety of language-based tasks, such as translation, summarization, and content generation. Enterprises can fine-tune LLMs to adapt them to their specific needs and unlock new efficiencies.
All articles on LLMs
How AI is powering the next generation of trade surveillance
Regulators and compliance officers face a constantly evolving landscape of financial markets. Rule-based systems struggle where AI succeeds.
September 26, 2023
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How AI speeds patient classification and recruitment in clinical trials
The medical industry is exploding with data. Manually labeling data for clinical trials is a challenge. Fortunately, AI can help.
September 21, 2023
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Which is better, retrieval augmentation (RAG) or fine-tuning? Both.
Professionals in the data science space often debate whether RAG or fine-tuning yields the better result. The answer is “both.”
September 20, 2023
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Former U.S. Chief Data Scientist on past and future of data science
Past U.S. Chief Data Scientist DJ Patil talked with Snorkel AI CEO Alex Ratner on topics including the origin of the title “data scientist.”
September 12, 2023
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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
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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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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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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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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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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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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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Foundation Model Summit Sessions Show Challenges and Promise
Twelve speakers shared their insights into the present and future of foundation models January event; see what they had to say.
March 7, 2023
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Google’s Dr. Arsanjani on Enterprise Foundation Model Promise and Challenges
Ali Arsanjani, director of cloud partner engineering at Google Cloud, presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit.
March 2, 2023
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Operationalizing knowledge for data-centric AI
Snorkel AI CEO and Co-Founder Alex Ratner’s introduction to data-centric AI from the 2022 Future of Data-Centric AI virtual conference.
February 27, 2023
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Meta research manager talks speech and search
Meta senior applied research manager Anoop Sinha and Snorkel AI co-founder Braden Hancock discuss mastering speech and search with TWIML host Sam Charrington.
February 10, 2023
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FM Summit shows Foundation Model hurdles and potential
Snorkel AI held its Foundation Model Summit Jan 17, bringing together 12 presenters and over 600 attendees at 10 virtual sessions. The event drew registrants from across many sectors, including the tech industry, healthcare, and financial services.
January 18, 2023
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Adapting language-based models beyond English
While a majority of Natural Language Processing (NLP) models focus on English, the real world requires solutions that work with languages across the globe. This demo shows how effectively users can build cross-language models in Snorkel Flow.
January 12, 2023
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