Category

Applied AI

Our picks

LLM distillation demystified: a complete guide
LLM distillation isolates task-specific LLM performance and mirrors it in a smaller format—creating faster and cheaper performance.
February 13, 2024
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Matt Casey
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AI alignment made simple: innovative solutions for businesses
AI alignment ensures that AI systems align with human values, ethics, and policies. Here’s a primer on how developers can build safer AI.
June 27, 2024
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Fred Sala
Image for RAG: LLM performance boost with retrieval-augmented generation
RAG: LLM performance boost with retrieval-augmented generation
Retrieval-augmented generation (RAG) enables LLMs to produce more accurate responses by finding and injecting relevant context. Learn how.
August 15, 2024
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Matt Casey

All articles on Applied AI

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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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Team Snorkel
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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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Team Snorkel
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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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Team Snorkel
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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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Team Snorkel
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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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Team Snorkel
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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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Team Snorkel
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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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Matt Casey
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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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Matt Casey
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Snowflake Snowpark: cloud SQL and Python ML pipelines
Ahmad Khan, Snowflake’s head of AI /ML strategy, presented “Scalable SQL + Python ML Pipelines in the Cloud” at |The Future of Data-Centric AI in 2022.
May 26, 2023
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Team Snorkel
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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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Matt Casey
Erin Babinsky
Capital One’s data-centric solutions to banking business challenges
Three experts gave a look into Capital One’s data-centric solutions to solve the bank’s business problems and improve customer experience.
May 12, 2023
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Team Snorkel
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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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Team Snorkel
Redesigning snorkel's interactive machine learning systems
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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Will Hang
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Machine learning on Kubernetes: wisdom learned at Snorkel AI
Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind.
April 27, 2023
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Will Huang
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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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Harshini Jayaram