AI drift

名词 n.

英文释义

名词 n.
  1. The gradual degradation of coherence in extended conversations with large language models due to context compression, leading to forgotten details, hallucinations, or off-topic responses. uncountable
    — AI systems will make mistakes, malfunction, or even breakdown. Mistakes can include biased outcomes, “hallucinations” and AI drift, which may seriously harm patients and therefore demand measures and increased awareness to counter these unwanted effects.
  2. The degradation of the accuracy of an LLM over its entire lifespan. uncountable
    — One major challenge being faced is the ability to surveil AI drift, or the tendency of deep learning algorithms to experience decreased accuracy over time due to changes in the population served, input data parameters, and technological updates.

词汇关系

相关词
context drift hallucination
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