Resource library
Explore our complete library of resources including blogs, benchmarks, research papers, and more.
Data 2.0 and the research era of AI data
Announcing Snorkel’s $350M fundraise to build the frontier lab for AI data.
Terminal-Bench 4.0: Why Continuous Benchmarks Require Continuous QA
Grok 4.5 Testing Results: How SpaceXAI’s New Model Performs on Real Professional Work
Why coding agents need better data, evals, and environments
Closing the Evaluation Gap in Agentic AI
Announcing a $3M commitment to launch Open Benchmarks Grants
Why Frontier Agents Fail Real Engineering Work: Two Terminal-Bench 3.0 Task Deep Dives
Building FinQA: An Open RL Environment for Financial Reasoning Agents
The science of rubric design
Learn how to evaluate GenAI systems, generate synthetic training data, and optimize retrieval with foundation models from Anthropic, Cohere, and Meta by taking advantage of native AWS Bedrock and SageMaker integration in Snorkel Flow.
Learn about large language model (LLM) alignment and how it maximizes the effectiveness of AI outputs for organizations.
Unlock GenAI projects with scalable data labeling tools, techniques, & best practices.
Discover the power of integrating Databricks and Snorkel Flow for efficient data ingestion, labeling, model development, and AI deployment.
In this webinar, we will explain how to operationalize prompt engineering as a component of the GenAI development process.
Discover how Snorkel AI’s methodical workflow can simplify the evaluation of LLM systems. Achieve better model performance in less time.
Accelerate LLM development with Snorkel Flow and SageMaker. Automate dataset curation, accelerate training, and gain a competitive advantage.
In this webinar, we’ll explain how to capture SME domain knowledge, and use it to automate and scale PDF classification and information extraction tasks. Specifically, we’ll demonstrate techniques such as candidate span generation, sequence tagging, and LLM prompting.
