Update retriever.py

retriever.py

@@ -17,7 +17,7 @@ class FrugalAI_methods(Tool):
         ideas.append(quantization())
         return ideas
         
-def pruning(self,method: str):
+def pruning():
     """
     Optimizes models by removing unnecessary components, such as certain weights in a neural network. 
     This function demonstrates how to apply pruning.
@@ -30,7 +30,7 @@ def pruning(self,method: str):
             f"can be increased or decreased depending on the initial number of weights and the complexity of your use case (minimu value: 0, maximum value: 1)."
         )
 
-def quantization(self, method: str):
+def quantization():
     """
     Converts high-precision weights into lower-precision one to reduce cost. 
     """