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Related Questions
- What are some techniques for creating effective prompts for sentiment analysis models?
- How can few-shot learning be used to adapt pre-trained models to specific domains or languages?
- What are some strategies for selecting a suitable pre-trained model for fine-tuning with limited data?
- Can you explain the concept of 'prompt engineering' and its role in fine-tuning sentiment analysis models?
- How can the use of transfer learning and fine-tuning with limited data improve the performance of sentiment analysis models?
- What are some common pitfalls to avoid when fine-tuning sentiment analysis models with few-shot learning and prompt engineering?
- Can you provide examples of how few-shot learning and prompt engineering have been used in real-world applications of sentiment analysis?
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