A developer is using a pre-trained language model to generate summaries of lengthy technical reports. The initial summaries are consistently too general and lack critical details. The developer cannot modify the model's weights or architecture. Which of the following approaches is most likely to improve the detail and accuracy of the generated summaries in this situation?
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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Evaluation in Bloom's Taxonomy
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A developer is using a pre-trained language model to generate summaries of lengthy technical reports. The initial summaries are consistently too general and lack critical details. The developer cannot modify the model's weights or architecture. Which of the following approaches is most likely to improve the detail and accuracy of the generated summaries in this situation?
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