domain | threads.net |
summary | whatever else i have a few questions about the output of gpt-3 Summery S and m is discussing with s/ r on potential concerns regarding the outputs generated by 'gpt - three. here it involves sharing experiences specifically related to instances in which gpt has produced seemingly uncorroborated or factually incorrect information, leading potentially misleading results that have caused issues for other users within a work environment where data precision and accuracy is of paramount importance such as academic research projects requiring factual integrity.
In another instance s also shares an example involving the output generated by 'gpt - three causing misquoting from historical events when used in creating scripts or documents which had led to propagation of untrue information for further use. additionally, he adds that not only does it seem like a challenge ensuring contextual and situational awareness within gpt where results may lack understanding about context leading perhaps even more mistakes if left unchecked by the user. thus there might be potential issues with reliability when using 'gpt - three in professional or academic scenarios especially considering limitations of output accuracy as compared to other models which are specifically trained for specific tasks like research assistant tools that have better contextual and knowledge parameters set according to data collected from specified resources only. additionally, s also adds a comment on the initial input process where one has little control over gpt - three in producing outputs based more upon inputs given hence leading potentially varied results when left unchecked by context or accuracy of information provided initially which then is further compounded with additional lack awareness and understanding as output continues to generate meaning. summarise this content for me s needs quick summary only |
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nslookup | A 157.240.243.63 |
created | 2024-10-12 |
updated | 2025-07-10 |
summarized | 2025-07-10 |
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