Instruction: Discuss the idea of enabling large language models to continuously learn and adapt after deployment, including potential obstacles.
Context: This question probes the candidate's knowledge on the cutting-edge concept of continuous learning for LLMs, focusing on how models can evolve with new data without compromising stability or performance.
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The way I'd explain it in an interview is this: Continuous learning means updating an LLM over time so it adapts to new information, new tasks, or changed environments instead of staying fixed after initial training. In theory, that is attractive because...