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Related Questions
- What is the impact of prompt design on the performance of LLMs in sentiment analysis tasks?
- How do contextual and semantic-aware prompts affect the accuracy of LLMs in text classification?
- What are some best practices for crafting informative and concise prompts for LLMs in sentiment analysis and text classification?
- Can you explain how prompt engineering can help alleviate the issue of out-of-vocabulary words in sentiment analysis and text classification tasks?
- How do LLMs interpret and respond to different types of prompts, such as closed-ended, open-ended, and multiple-choice prompts?
- What are some common pitfalls to avoid when designing prompts for LLMs in sentiment analysis and text classification, and how can they be mitigated?
- Can you discuss the relationship between prompt engineering and data quality in improving the accuracy of LLMs in sentiment analysis and text classification?
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