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Im having a similar challenge when adding few shot examples. Specifically I have inputs to the model that are always identical and I would like to hide them from the examples that are provided to the LM during inference and training, since it costs a lot of tokens having unnecessary inputs be used during training (multiplied by number of examples showed). Would be nice to be able to specify which parameters should be "tuned".
Hi,
How can I customize the prompt structure in DSPy and use teleprompter to optimize only a specific part of it? For example, my custom prompt is:
How can I use an optimizer, such as copro, to optimize only the Tips section?
Thank you!
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