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In this post, we will show you a specialized benchmark dataset we developed with our expert network of Chartered Property and Casualty Underwriters (CPCUs). The benchmark uncovers several model-specific and actionable error modes, including basic tool use errors and a surprising number of insidious hallucinations from one provider. This is part of an ongoing series of benchmarks we are releasing across verticals…
LLM observability is crucial for monitoring, debugging, and improving large language models. Learn key practices, tools, and strategies of LLM observability.
Explore how Anthropic Claude + AWS help pharmaceutical companies leverage AI for enhanced data insights and revenue growth.