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LLMs may not accurately extract or calculate data as instructed

Users often mistakenly believe that Large Language Models (LLMs) will precisely execute data extraction or calculation tasks as instructed. However, LLMs may produce outputs that appear correct but are factually inaccurate, a discrepancy that can only be identified through manual verification. AI

IMPACT Highlights potential inaccuracies in LLM data extraction and calculation, urging users to perform manual verification for critical tasks.

RANK_REASON The item is a social media post expressing an opinion about LLM limitations, not a primary source release or significant industry event.

Read on Mastodon — fosstodon.org →

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LLMs may not accurately extract or calculate data as instructed

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    A lot of people seem to believe that if you ask an LLM to look through a database and calculate something, or extract data according to some criteria, then it w

    A lot of people seem to believe that if you ask an LLM to look through a database and calculate something, or extract data according to some criteria, then it will do exactly what you ask for. It won't. It will calculate an output that looks normal. And you won't discover this un…