AI chatbots unable to accurately summarise news, BBC finds
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T [email protected] shared this topic
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BBC finds lol. No, we slresdy knew about that
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Which is hilarious, because most of the shit out there today seems to be written by them.
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Especially after the open source release of DeepSeak... What...?
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Funny, I find the BBC unable to accurately convey the news
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Why, where they trained using MAIN STREAM NEWS? That could explain it.
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Idk guys. I think the headline is misleading. I had an AI chatbot summarize the article and it says AI chatbots are really, really good at summarizing articles. In fact it pinky promised.
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Temperature isn't even "creativity" per say, it's more a band-aid to patch looping and dryness in long responses.
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Lower temperature is much better with modern sampling algorithms, E.G., MinP, DRY, maybe dynamic temperature like mirostat and such. Ideally, structure output, too. Unfortunately, corporate APIs usually don't offer this.
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It can be mitigated with finetuning against looping/repetition/slop, but most models are the opposite, massively overtuned on their own output which "inbreeds" the model.
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And yes, domain specific queries are best. Basically the user needs separate prompt boxes for coding, summaries, creative suggestions and such each with their own tuned settings (and ideally tuned models). You are right, this is a much better idea than offering a temperature knob to the user, but... most UIs don't even do this for some reason?
What I am getting at is this is not a problem companies seem interested in solving.
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