Evaluating a Prompt Demonstration for Sentiment Analysis
Critically evaluate the effectiveness of the demonstration provided in the case study for teaching a model to identify negative sentiment. Explain your reasoning and, if you find it ineffective, provide a more suitable example of a demonstration.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.1 Pre-training - Foundations of Large Language Models
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A language model is provided with a context
c('Translate the following sentence for a medical professional') and an inputz('Le patient présente une pyrexie'). The model computes the conditional probabilities for several potential English translations (y). Based on the principle of selecting the output that maximizes the conditional probability given the full context and input, which translation should the model choose as its prediction?A language model is tasked with improving a Chinese-to-English translation. The desired process is for the model to first explicitly identify any errors in an initial translation and then generate a corrected version based on that analysis. Which of the following prompt structures correctly instructs the model to perform this specific two-step task?
Evaluating a Prompt Demonstration for Sentiment Analysis