A brief evaluation of ChatGPT-4 quality
Blog post from Qase
OpenAI's ChatGPT-4, despite being an advanced language model, still exhibits notable shortcomings, including social biases, hallucinations, and issues with adversarial prompts. When evaluated on its factual accuracy, particularly regarding theories of motivation, GPT-4 provided mostly accurate references, except for a minor misinterpretation of a study's outcomes. However, when queried about mob programming, GPT-4 provided several incorrect links and hallucinated studies, demonstrating a tendency toward confident inaccuracy in unfamiliar topics. This issue extends to other areas, such as Warhammer 40k chapters, where it failed to accurately comprehend the concept. These challenges highlight the model's increased confidence in responses, making the detection of inaccuracies more difficult compared to earlier versions.
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