In summary, while LLMs like ChatGPT show impressive capabilities in handling various tasks and generating humanlike text, they still face limitations such as hallucinations and lack of awareness regarding their own boundaries. These issues can lead to unreliable results when tackling complex or ambiguous tasks beyond their scope. To mitigate these challenges, users must develop a deeper understanding of LLMs’ capabilities while acknowledging the need for improved models that exhibit more realistic responses like declining unachievable requests or requesting clarification on uncertain topics.
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