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A startup with limited computational resources and a tight deadline needs to build a system that can summarize lengthy legal documents. They have access to a powerful, general-purpose language model that was pre-trained on a massive dataset but primarily on shorter texts. Given their constraints, which of the following strategies is the most logical and efficient for them to pursue?
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.3 Prompting - Foundations of Large Language Models
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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