It is hard to do so without also limiting models’ power
warns users to “double-check its responses”. The throughline is this: no matter how fluent and confidentsystems in the real world. Mistakes in news-generating algorithms can spread misinformation. Image generators can produce art that infringes on copyright, even when told not to. Customer-service chatbots can promise refunds they shouldn’t. And hallucinations inThe trouble is that the same abilities that allow models to hallucinate are also what make them so useful.
It is also possible to change a model’s “temperature”. Lower temperatures make a model more conservative, encouraging it to sample the most likely word. Higher temperatures make it more creative, by increasing the randomness of this selection. If the goal is to reduce hallucinations, the temperature should be set to zero. Another trick is to limit the choice to the top-ranked tokens alone.
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