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Irrelevant input causes LLM failures — what it means for writing effective prompts
Irrelevant input causes LLM failures — what it means for writing effective prompts

A recent study from the Massachusetts Institute of Technology examines how large language models (LLMs) respond to systematic disruptions in prompt design when solving math word problems. The findings indicate that even minor additions of irrelevant context can significantly degrade performance.
The article Irrelevant input causes LLM failures — what it means for writing effective prompts appeared first on THE DECODER.

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