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Related Questions
- What are the current limitations of prompt engineering in resolving ambiguity in LLM output?
- How does ambiguity in LLM output affect the reliability and trustworthiness of model predictions?
- Are there any specific techniques in prompt engineering that can more effectively address ambiguity in LLM output?
- Can ambiguity in LLM output be completely eliminated using current advances in natural language processing and machine learning?
- What role do context and domain knowledge play in reducing ambiguity in LLM output when using prompt engineering?
- How do different prompt engineering techniques handle nuances in language, and what are their limitations?
- Can LLMs with more advanced cognitive architectures reduce ambiguity in their output more effectively than others?
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