Description

This spike aims to optimize prompts to enhance the accuracy of our language model. By iterating through prompt adjustments and evaluating their impact on model output against a training dataset, we seek to identify and implement effective prompt modifications.

Goals:

Experiment with prompt variations to improve the accuracy and relevance of model-generated responses.
Identify key prompt modifications that consistently enhance model performance.
Provide clear recommendations for prompt optimization based on experimental findings.

Timebox:
Run into our free token credits expire at the end of the month.