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<blockquote data-quote="Blue" data-source="post: 9834130" data-attributes="member: 20564"><p>A friend of mine, a lawyer, uses it to research. He then has to check all of the references, but finds that even with that additional time he's still completing work in a fraction of the time when he was searching for everything manually. It saves individual clients hours of billed time, and for him he's just able to complete more in the week so he's not losing any billable hours by being more efficient.</p><p></p><p>LLM models were trained where 'I don't know' was considered a worse answer than something that could be right, and that plus statistical word choices being the other big factors in hallucinations. So if you are searching for something with a good amount of data then there's an acceptable number of them. For your paper, "every reference. every time" should only happen if it's a rather rare thing. If you care to post some of the questions that gave only bad references we could see if some of the LLM are better for what you are doing. Since every time it was bad that shouldn't be hard.</p><p></p><p>SOURCE: <a href="https://openai.com/index/why-language-models-hallucinate/" target="_blank">https://openai.com/index/why-language-models-hallucinate/</a></p><p></p><p>Which brings up about another friend who uses the free uses of one LLM to double check the answers of the LLM he's subscribed to, since differently trained models won't hallucinate the same thing.</p><p></p><p>It's the early stages of a truly new tool, much like cranking to start early automobiles could break people's arms when the engine caught. It's got a while to go before it's polished. That companies have tried pushing it into everyone's hands this early is not surprising for capitalism, but shows the early, unsafe stages it's going through right now.</p></blockquote><p></p>
[QUOTE="Blue, post: 9834130, member: 20564"] A friend of mine, a lawyer, uses it to research. He then has to check all of the references, but finds that even with that additional time he's still completing work in a fraction of the time when he was searching for everything manually. It saves individual clients hours of billed time, and for him he's just able to complete more in the week so he's not losing any billable hours by being more efficient. LLM models were trained where 'I don't know' was considered a worse answer than something that could be right, and that plus statistical word choices being the other big factors in hallucinations. So if you are searching for something with a good amount of data then there's an acceptable number of them. For your paper, "every reference. every time" should only happen if it's a rather rare thing. If you care to post some of the questions that gave only bad references we could see if some of the LLM are better for what you are doing. Since every time it was bad that shouldn't be hard. SOURCE: [URL]https://openai.com/index/why-language-models-hallucinate/[/URL] Which brings up about another friend who uses the free uses of one LLM to double check the answers of the LLM he's subscribed to, since differently trained models won't hallucinate the same thing. It's the early stages of a truly new tool, much like cranking to start early automobiles could break people's arms when the engine caught. It's got a while to go before it's polished. That companies have tried pushing it into everyone's hands this early is not surprising for capitalism, but shows the early, unsafe stages it's going through right now. [/QUOTE]
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