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Research

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.

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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.

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April 13, 2023

Coactive AI’s CEO: quality beats quantity for data selection

Cody Coleman, CEO and Co-Founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022.

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April 11, 2023

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.

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April 5, 2023

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

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

HuggingFace research lead on unified foundation models

Amanpreet Singh, Lead Researcher at Hugging Face gave a presentation entitled Towards Unified Foundation Models for Vision and Language Alignment a Snorkel AI’s Foundation Model Summit in January.

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March 8, 2023

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

Foundation Models 101: a guide with essential FAQs

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. What are they and how will they impact your business? Find out in our guide.

March 1, 2023

Combining foundation models with weak supervision

Combining foundation model outputs with weak supervision yields faster model development and requires fewer ground truth labels.

March 1, 2023

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.

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February 27, 2023

How a Brown professor sharpened and shrunk GPT-3

Brown professor Stephen Bach tells Snorkel CEO Alex Ratner about his research into improving foundation models like GPT-3 with curated data.

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February 21, 2023

Cleanlab CEO shows automatic data-cleansing tools

Cleanlab Co-Founder and CEO Curtis Northcutt presents his company’s automatic, universal and open-source tools to quickly clean data sets.

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February 17, 2023

NASA ML Lead on its WorldView citizen scientist no-code tool

Anirudh Koul is Machine Learning Lead for the NASA Frontier Development Lab and the Head of Machine Learning Sciences at Pinterest. He presented at Snorkel AI’s 2022 Future of Data Centric AI (FDCAI) Conference.

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February 6, 2023

Accuracy top concern for Foundation Model adoption—Poll

Most poll respondents at Snorkel AI’s recent Foundation Model Virtual Summit named questionable accuracy as the biggest barrier preventing them from getting organizational value from Foundation Models.

January 31, 2023
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