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Astra for Law

589 points · 689 comments · vertigoruntime

  1. throw03172019 · · focus · HN ↗
    From my experience LLMs seem to forget sometimes who they are representing when drafting clauses or editing / redlining.

    Our counsel made a few edits where it clearly drafted in favor of the customer instead of us.

    1. victor9000 · · focus · HN ↗
      I wonder if this is willful sabotage on the part of the model. In other words, if you ask the model to craft a defense for a morally questionable case, will the model execute the defense in good faith? Or will it apply a training or system prompt bias in subtle ways?
      1. freejazz · · focus · HN ↗
        Sure - why not make everything about the culture wars?
    2. akg_67 · · focus · HN ↗
      Context compaction? I noticed llm seem to forget partially or completely the original task when context compaction happens. The problem is more serious with local llm with low context size.
    3. alansaber · · focus · HN ↗
      LLMs bleed context from the conversation/attachments into the output. This has always been a problem with no real solution other than some crafty iteration/loops.
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