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Sierra’s new benchmark reveals how well AI agents perform at real work
Sierra releases TAU-bench, a new benchmark that claims to more accurately evaluate AI agent performance in the real world. Read how 12 popular LLMs fared.
Modular framework: Because TAU-bench is built like a set of building blocks, it’s easy to add new elements such as domains, database entries, rules, APIs, tasks and evaluation metrics. Image credit: SierraIn addition, all the tested agents performed “extremely poorly” on reliability and were “unable to consistently solve the exact same task when the episode is re-run.” He also calls for new methods to make annotating easier through the use of automated tools and that more fine-grained evaluation metrics be developed to test other aspects of an agent’s behavior, such as its tone and style.
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