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    Claims about fine-tuning in a small team's AI model launch

    A commenter cites decent results from a five-person team; another says paid quote posts obscure the fine-tuning detail.

    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(
    1 Source, 1h ago, first seen 1h ago

    TLDR

    One commenter says a five-person team with limited funding got decent results and objects to a paid quote post calling the model American. Another says paid quote posts misrepresent or omit what they consider a key detail: the model is a fine-tune. They note that the announcement calls it “post-trained,” wording they say may not make that clear to lay readers.

    Combined views

    190

    1 Source, first seen 1h ago

    4 likes1 saves1 reposts

    Combined views

    190

    1 Source, first seen 1h ago

    4 likes1 saves1 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex@iScienceLuvr Jev is a legitimately new technology, though I didn't like the hype these paid QTs uniformly misrepresent or omit the important detail of it being a finetune (the actual announcement says "post-trained" so you can guess, but laymen won't) it's cool that they managed it, ofc1h
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    1 Source

    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex@iScienceLuvr Jev is a legitimately new technology, though I didn't like the hype these paid QTs uniformly misrepresent or omit the important detail of it being a finetune (the actual announcement says "post-trained" so you can guess, but laymen won't) it's cool that they managed it, ofc1h
    Today's Rank

    #11

    Today's Rank

    #11