Challenges and limitations in LLM decision-making
LLMs such as GPT-4 are technological marvels, but they come with a set of challenges and limitations that impact their decision-making abilities. Here are some of the challenges and limitations we must consider:
- Understanding context and nuance:
- Ambiguity: LLMs may struggle with ambiguity in language. They sometimes cannot determine the correct meaning of a word or phrase without clear context.
- Sarcasm and irony: Detecting sarcasm or irony is particularly challenging because it often requires understanding subtle cues and having a deep cultural context that LLMs may not have.
- Long-term context: Maintaining coherence over long conversations or documents is difficult as LLMs might lose track of earlier context.
- Generalization versus specialization:
- Overfitting: LLMs can become too specialized to the training data, making them less able to generalize to new types of data or problems
- Underfitting: Conversely, LLMs might not capture...
