Reasoning and planning are the Limitations of Large Language Models

Large language models can mimic reasoning based on patterns they have learned from vast amounts of text, but they cannot genuinely reason as humans do. While they can produce answers that appear reasoned, they often rely on pattern matching and can make glaring mistakes. Large language models struggle with planning tasks that involve constraints like scheduling and logistics. Although there are claims of large language models being able to reason, caution is advised. However, there is potential for improvement by integrating search and planning technology with large language models, which may enable them to reason and plan effectively in the future.

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