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Explore our complete library of resources including blogs, benchmarks, research papers and more.
Image for Evaluating Coding Agent Capabilities with Terminal-Bench: Snorkel’s Role in Building the Next Generation Benchmark
Blog

Evaluating Coding Agent Capabilities with Terminal-Bench: Snorkel’s Role in Building the Next Generation Benchmark

Announcing a $3M commitment to launch Open Benchmarks Grants
September 30, 2025
Image for Closing the Evaluation Gap in Agentic AI
Blog

Closing the Evaluation Gap in Agentic AI

Announcing a $3M commitment to launch Open Benchmarks Grants

February 11, 2026
Image for Benchtalks #1: Alex Shaw (Terminal-Bench, Harbor) – Building the Benchmark Factory
Blog

Benchtalks #1: Alex Shaw (Terminal-Bench, Harbor) – Building the Benchmark Factory

Announcing a $3M commitment to launch Open Benchmarks Grants
March 31, 2026
Image for Building FinQA: An Open RL Environment for Financial Reasoning Agents
Blog

Building FinQA: An Open RL Environment for Financial Reasoning Agents

Announcing a $3M commitment to launch Open Benchmarks Grants
March 30, 2026
Image for The science of rubric design
Blog

The science of rubric design

Announcing a $3M commitment to launch Open Benchmarks Grants
September 11, 2025
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Sambanova on using LLMs to squeeze value from business data
Blog
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.

Jun 20, 2023
Learn more about Sambanova on using LLMs to squeeze value from business data
Black Swan Data CTO on how to tackle petabyte-level learning
Blog
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.

Jun 15, 2023
Learn more about Black Swan Data CTO on how to tackle petabyte-level learning
How Grammarly strives for superhuman communication assistance
Blog
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.

Jun 14, 2023
Learn more about How Grammarly strives for superhuman communication assistance
The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond
Blog
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.

Jun 10, 2023
Learn more about The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond
Future of Data-Centric AI day 1: LLMs changed the world
Blog
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.

Jun 08, 2023
Learn more about Future of Data-Centric AI day 1: LLMs changed the world
How to import Databricks data into Snorkel Flow
Blog
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.

Jun 02, 2023
Learn more about How to import Databricks data into Snorkel Flow
How MLCommons is democratizing data with public datasets
Blog
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
Learn more about How MLCommons is democratizing data with public datasets
Snowflake Snowpark: cloud SQL and Python ML pipelines
Blog
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
Learn more about Snowflake Snowpark: cloud SQL and Python ML pipelines
Large language models: their history, capabilities and limitations
Blog
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
Learn more about Large language models: their history, capabilities and limitations
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