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Achieving a single successful task completion in stateful workflows doesn't guarantee reliability, with many agents failing to maintain consistent performance across multiple attempts.
LLMs in gastroenterology can be made significantly safer: a new framework achieves near-human expert alignment and boosts accuracy by 8% via rejection sampling.
