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Related Questions
- What are some techniques for improving the contextual understanding of a text generation model?
- Can you explain how a model can be trained to generate coherent text that is relevant to a specific topic?
- How can a text generation model be designed to capture nuances of human language and generate more natural-sounding text?
- What role does entity recognition play in improving the coherence of generated text?
- How can a model be fine-tuned to generate text that is more contextually aware and less prone to hallucinations?
- Can you provide an example of a model architecture that incorporates contextual understanding for text generation?
- What are some common challenges in implementing contextual understanding in text generation models, and how can they be addressed?
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