Resource library
Evaluating Coding Agent Capabilities with Terminal-Bench: Snorkel’s Role in Building the Next Generation Benchmark
Closing the Evaluation Gap in Agentic AI
Announcing a $3M commitment to launch Open Benchmarks Grants
Benchtalks #1: Alex Shaw (Terminal-Bench, Harbor) – Building the Benchmark Factory
Building FinQA: An Open RL Environment for Financial Reasoning Agents
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.
Learn about the obstacles faced by data scientists in LLM evaluation and discover effective strategies for overcoming them.
Snorkel AI and AWS are partnering to help enterprises build, deploy, and evaluate custom, production-ready AI models. Learn how.
