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Related Questions
- What are the key differences in working memory capacity between large language models and the human brain?
- How do the limitations of LLMs' working memory impact their ability to understand and respond to complex queries?
- What strategies can be employed to improve the working memory of large language models, inspired by the human brain's efficient memory management techniques?
- Can the study of LLMs' working memory limitations provide insights into the neural mechanisms of human working memory, and vice versa?
- How do LLMs' working memory limitations affect their ability to generalize knowledge across domains and tasks?
- What are some potential applications of understanding the working memory limitations of LLMs, such as in developing more efficient language processing systems?
- Can the comparison of LLMs' working memory to the human brain's provide new perspectives on the concept of 'common sense' in AI systems?
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