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Related Questions
- What are the primary factors that contribute to the long-term memory limitations of large language models?
- How do the limitations of long-term memory affect the ability of LLMs to perform tasks that require sequential reasoning?
- What techniques can be used to mitigate the impact of long-term memory limitations on LLM performance?
- Can you explain the relationship between long-term memory capacity and the ability of LLMs to handle nested dependencies in reasoning tasks?
- How do the architectural design choices of LLMs influence their capacity to store and retrieve information from long-term memory?
- What are the implications of long-term memory limitations for the ability of LLMs to learn from large datasets and adapt to new information?
- Can you discuss the trade-offs between increasing long-term memory capacity and model size, computational resources, and training time?
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