DSPy BetterTogether

Goal

Sequence prompt and weight optimizers, evaluate intermediate programs, and return the best candidate.

Prerequisites

• Use DSPy 3.2.1 or later in the stable 3.2.x series.
• Assign an LM directly to every predictor with student.set_lm(lm).
• Keep a validation set, or allow BetterTogether to hold out part of the trainset.
• Confirm the LM provider supports fine-tuning before including BootstrapFinetune.

Basic Pattern

import dspy