Two-Stage Process
class CustomMIPROv2:
def __init__(self, teacher_model="gpt-4", student_model="gpt-4o-mini"):
# Stage 1: Extract constraints from demonstrations
self.constraint_extractor = dspy.Predict(
"Analyze task demonstrations and extract key constraints."
)
# Stage 2: Generate instructions based on constraints
self.instruction_generator = dspy.ChainOfThought(
"Generate optimized instruction based on constraints and examples."
)
def compile(self, program, trainset, valset, metric, tips=None):
# Extract constraints from training data
constraints = self._extract_constraints(trainset)
# Generate optimized instructions
return self._generate_optimized_program(program, constraints, tips)
