Classification Specific Prompt Optimization With Categorical Evaluation

via “classification-specific prompt optimization with categorical evaluation”

Automated prompt engineering. It generates, tests, and ranks prompts to find the best ones.

Unique: Specializes the generic optimization pipeline for classification by replacing pairwise comparisons with classification-specific metrics (accuracy, F1, precision, recall). Includes custom output parsing logic to extract categories from model outputs.

vs others: More precise than generic pairwise comparison for classification because it uses task-specific metrics; more practical than manual evaluation because it automates metric computation across all candidates.

via “prompt optimization and few-shot example selection”

Cohere provides access to advanced Large Language Models and NLP tools.

via “model-specific prompt optimization”

via “prompt variant testing”