Utilizing few-shot learning and fine-tuning as style guides
While the decorators generated by GenAI applications provide the desired functionality, we can further refine their style using few-shot learning techniques, as introduced in Chapter 8.
For instance, we might want to include the @functools.wraps decorator to preserve the original function’s attributes and enforce a specific logging style with the extra parameters. Both objectives can be achieved by supplying few-shot examples to Copilot and ChatGPT or adding desired prompt outputs to our fine-tuning file to be used by OpenAI API.
Few-shot decorator style for GitHub Copilot
As introduced in Chapter 8, enforcing a specific style with GitHub Copilot requires a few examples, which can be provided as a style guide script. This few-shot example achieves the desired implementation.
To achieve this, we can create a style_guide_decorator.py file, which should be treated like another non-project file and is typically...
