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Logprobs and the case for repackaging the LLM stack

One commenter sees a maturing LLM market opening up useful new ways to package parts of the technology. Another says logprobs had become “fairly useless” before they were removed.

Mike KnoopMK
2 Sources, 20d ago, first seen 20d ago

TLDR

Logprobs—log probabilities—were once universally exposed through LLM inference APIs, one commenter recalls. They argue that the market is entering a phase where individual parts of the LLM stack can be repackaged in useful new ways. A separate comment offers a dimmer view of logprobs specifically, saying they became “fairly useless” before being removed.

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4.6K

2 Sources, first seen 20d ago

41 likes6 comments15 saves3 reposts

Combined views

4.6K

2 Sources, first seen 20d ago

41 likes6 comments15 saves3 reposts

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2 Sources

ben hylak@benhylakeh, logprobs became fairly useless before they were ripped out.20d
Mike Knoop@mikeknoopi forgot that logprobs used to be universally exposed from LLM inference APIs! we're entering some market maturity phase of LLMs where it's viable to slice off interesting parts of the LLM stack and package them in new ways that are useful20d
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    2 Sources

    ben hylak@benhylakeh, logprobs became fairly useless before they were ripped out.20d
    Mike Knoop@mikeknoopi forgot that logprobs used to be universally exposed from LLM inference APIs! we're entering some market maturity phase of LLMs where it's viable to slice off interesting parts of the LLM stack and package them in new ways that are useful20d
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