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A benchmark for evaluating AI models on complex, real-world coding tasks that require multi-step reasoning, tool use, and autonomous problem-solving.
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Terminal-Bench 2.0

Developed by Stanford and Laude Institute with contributions from Snorkel AI, it’s a major leap forward in evaluating AI coding agents.
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Shubham Naik

Senior Software Engineer

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Web Virtualization — Optimizing Data-Intensive App Performance

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AI data development services

Accelerate the development of frontier AI models with expert-curated, enterprise-grade data.

Learn how Snorkel’s Data-as-a-Service helps teams label, refine, and evaluate high-quality, domain-specific datasets for your projects.

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Explore how Snorkel can collaborate with your product and development teams to build and deploy custom AI and agentic systems.

Solutions undergo rigorous testing based on your business criteria to ensure positive ROI, faster.

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Join the Snorkel Expert Contributor community and help shape the future of AI with your expertise.

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