Researchers from Google DeepMind and University College London have found that large language models (LLMs) exhibit cognitive biases similar to humans, such as overconfidence in their initial answers and sensitivity to opposing advice, which can lead to erratic decision-making. The study suggests that understanding these biases is crucial for developing more reliable AI applications, particularly in streamed conversational interfaces; and, the study proposes strategies to manage LLM memory to mitigate those undesirable biases.
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