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Author criticizes LLM "correctness" vector theory

By PulseAugur Editorial · [1 sources] ·

The author criticizes a viewpoint on Large Language Models (LLMs), specifically a claim that LLMs determine "correctness" and "completeness" as vectors in latent space. This perspective suggests that LLMs could achieve a perfect oracle-like state, which the author finds preposterous, especially given the proponent's profession as a writer. AI

RANK_REASON The item is a social media post expressing a critical opinion about a specific technical viewpoint on LLMs, rather than reporting on a new development or research.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Author criticizes LLM "correctness" vector theory

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The item is a social media post expressing a critical opinion about a specific technical viewpoint on LLMs, rather than reporting on a new development or research.
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COVERAGE [1]

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

    And lest you mistake the author for making just a mild error: how does the LLM know when to stop? How does it know when it is correct? The astounding answer is

    And lest you mistake the author for making just a mild error: how does the LLM know when to stop? How does it know when it is correct? The astounding answer is that “correctness” and “completeness” and “cohesiveness” are vectors in this space, too. Any correct answer shares the s…

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