Is the new gpt-3.5-turbo model worse?

OpenAI's newly released models, gpt-3.5-turbo-0613 and gpt-4-0613, were evaluated against their predecessors for their performance in labeling text datasets across various natural language processing (NLP) tasks. The gpt-3.5-turbo-0613 model demonstrated a 40% faster turnaround time than its predecessor but exhibited slightly lower label quality for six out of eight datasets. In contrast, the gpt-4-0613 model maintained a similar label quality to its predecessor while also being 20% faster. Despite these improvements in speed, the new models remain significantly faster than human annotators, with the gpt-4-0613 model outperforming human labeling quality. The evaluation suggests that while the newer models offer increased efficiency, developers are advised to assess performance on their specific data and use cases before transitioning to the updated models.

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