Analysis of Language Model Evaluation Scenarios
Analyze the two evaluation scenarios described below. Compare the primary challenge each scenario is designed to test in a language model, and explain why the scale of the input text is the critical factor that differentiates the two evaluation approaches.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Analysis of Language Model Evaluation Scenarios
A researcher is evaluating a new language model that can process an input of 200,000 tokens. They use a benchmark from several years ago, which was designed to test if a model could link a question to a piece of information located 500 words away within a 1,000-word text. What is the primary shortcoming of using this older benchmark to assess the new model's long-context capabilities?
Distinguishing Evaluation Paradigms for Language Models