Expand MIPROv2 Optimizer Search Space #453
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The MIPROv2 optimizer was previously only optimizing for model temperature and the number of bootstrapped demos. This change expands the optimizer's search space to include instruction selection and the number of labeled examples, which is closer to the intended implementation described in the DSPy paper. The key changes are: - The `compilePython` method now generates a list of instruction candidates. - The optimization request sent to the Python backend now includes the instruction candidates as a categorical parameter and the number of labeled examples as an integer parameter. - The trial loop now applies the instruction and labeled example count suggested by the optimizer to a cloned program instance for evaluation. - The final optimized program is now created with the best-performing instruction and example configuration.
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This change enhances the MIPROv2 optimizer to tune instructions and the number of examples, not just temperature and demo count. It aligns the optimizer more closely with its intended purpose of performing comprehensive prompt engineering. By expanding the search space, the optimizer can now discover more effective combinations of instructions and examples, leading to improved model performance.
Fixes #425
PR created automatically by Jules for task 14991558155557114068 started by @dosco