A team is developing a system to generate a single, highly accurate description for an image. They provide a language model with the same image but use five different instructional phrases to guide the description generation process. This results in five distinct text descriptions of the image. The team's final step is to aggregate these five descriptions into one consolidated output. How does the general formula for combining multiple predictions, ŷ = Combine(ŷ₁, ..., ŷₖ), map to this team's process?
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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Combination Strategies for Prompt Ensembling
A team is developing a system to generate a single, highly accurate description for an image. They provide a language model with the same image but use five different instructional phrases to guide the description generation process. This results in five distinct text descriptions of the image. The team's final step is to aggregate these five descriptions into one consolidated output. How does the general formula for combining multiple predictions,
ŷ = Combine(ŷ₁, ..., ŷₖ), map to this team's process?Analyzing a Failure in Prediction Combination
Deconstructing the Prediction Combination Formula