This post discusses how self-consistency prompting can enhance the performance of generative language models. It explores the difference between CoT prompting and self-consistency prompting and explains the advantages and disadvantages of using self-consistency prompting.
Table of contents
Overview of solutionPrerequisitesDataset to probe arithmetic reasoning capabilitiesSet up to run batch inference with Amazon BedrockFormat and upload input data to Amazon S3Create and run batch inference jobs in Amazon BedrockSelf-consistency enhances model accuracy on arithmetic tasksPractical considerations on efficiency and costSelf-consistency enhances model performance beyond arithmetic reasoningClean upConsiderationsConclusionAcknowledgementsSort: