If you're using one of OpenAI's models – or any LLM via an API/cloud – here's why you should test it regularly for any regressions Accuracy can degrade and improve over time. Here are a few examples from a Stanford-Berkeley study
GPT-3.5 and GPT-4 – the models at the heart of OpenAI's ChatGPT – appear to have got worse at generating some code and performing other tasks between March and June this year. That's according to experiments performed by computer scientists in the United States. The tests also showed the models improved in some areas.
"We evaluated ChatGPT's behavior over time and found substantial differences in its responses to the same questions between the June version of GPT-4 and GPT-3.5 and the March versions," Large language models have taken the world by storm of late. Their ability to perform tasks such as document searching and summarization automatically, and generate content based on input queries in natural language, have caused quite a hype cycle. Businesses relying on software like OpenAI's technologies to power their products and services, however, should be wary about how their behaviors can change over time.
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