Explore how Anthropic Claude + AWS help pharmaceutical companies leverage AI for enhanced data insights and revenue growth.
See how we can use these two new products—Snorkel Evaluate and Expert Data-as-a-Service–to evaluate and develop a specialized agentic AI system for an enterprise use case
Announcing two new products on our AI Data Development Platform that together create a complete solution for enterprises to specialize AI systems with expert data at scale.
Discover how enterprises can leverage LLM-as-Judge systems to evaluate generative AI outputs at scale, improve model alignment, reduce costs, and tackle challenges like bias and interpretability.
It’s critical enterprises can trust and rely on GenAI evaluation results, and for that, SME-in-the-loop workflows are needed. In my first blog post on enterprise GenAI evaluation, I discussed the importance of specialized evaluators as a scalable proxy for SMEs. It simply isn’t practical to task SMEs with performing manual evaluations – it can take weeks if not longer, unnecessarily…
We’re taking a look at the research paper, LLMs can easily learn to reason from demonstration (Li et al., 2025), in this week’s community research spotlight. It focuses on how the structure of reasoning traces impacts distillation from models such as DeepSeek R1. What’s the big idea regarding LLM reasoning distillation? The reasoning capabilities of powerful models such as DeepSeek…
GenAI needs fine-grained evaluation for AI teams to gain actionable insights.
Specialized GenAI evaluation ensures AI assistants meet business requirements, SME expertise, and industry regulations—critical for production-ready AI.
Ensure your LLMs align with your values and goals using LLM alignment techniques. Learn how to mitigate risks and optimize performance.
