Recently, the performance issues of the large language model GPT-4 have attracted widespread attention. Some netizens reported that the completion rate of GPT-4 in code processing tasks has dropped significantly, triggering discussions about its reliability and efficiency. Although OpenAI CEO Altman promised to make improvements in the new year, the specific measures and improvement effects remain to be seen, which brings uncertainty to users. This article will focus on analyzing the reasons behind the "laziness" phenomenon of GPT-4 and its possible impacts.
Recently, the "laziness" phenomenon of GPT-4 has once again attracted attention. Netizens found that in the code comparison task, the completion rate of GPT-4 dropped by nearly a quarter. Although Ultraman said there will be improvements in the new year, netizens are still troubled by its performance and optimization strategies. This phenomenon may be alleviated in the New Year, but improvement measures have not yet been determined.The performance degradation of GPT-4 deserves attention and reflects the challenges faced by large language models in practical applications. In the future, further research and improvement are needed to improve the reliability and efficiency of the model and meet the growing needs of users. It is hoped that OpenAI can come up with practical and effective improvement plans as soon as possible to restore users' confidence in GPT-4.