Explained teacher settings better

Author: XenonMolecule

dspy/teleprompt/mipro_optimizer_v2.py

@@ -48,8 +48,10 @@
 Note that this teleprompter takes in the following parameters:
 
 * prompt_model: The model used for prompt generation. When unspecified, defaults to the model set in settings (i.e., dspy.settings.configure(lm=task_model)).
-* task_model: The model used for prompt generation. When unspecified, defaults to the model set in settings (i.e., dspy.settings.configure(lm=task_model)).
+* task_model: The model used for running your task. When unspecified, defaults to the model set in settings (i.e., dspy.settings.configure(lm=task_model)).
 * teacher_settings: The settings used for the teacher model. When unspecified, defaults to the settings set in settings (i.e., dspy.settings.configure(lm=task_model)).
+    The teacher settings are used to generate the fewshot examples.  This is the LLM/settings to use as a task model for the bootstrapping runs.
+    Typically you would want to use a model of equal or greater quality to your task model.
 * metric: The task metric used for optimization.
 * num_candidates: The number of new prompts and sets of fewshot examples to generate and evaluate. Default=10.
 * init_temperature: The temperature used to generate new prompts. Higher roughly equals more creative. Default=1.0.