Add a discussion on LLMs and prompt engineering

[svenvanderburg]

Fixes #424

@Reviewer:

• Is this the right place to put this?
• Do you find this a useful addition?
• I did not put this in the learning objectives and questions, it is more a: 'did you know?' section? Do you agree?

NB: the referred article is not open-source (unfortunately the forefront of research related to ChatGPT isn't), so I could not use images from the paper. But I think my highly simplified examples are good enough to understand the approach (maybe even simpler than the images in the paper).

[github-actions]

Thank you!

Thank you for your pull request 😃

🤖 This automated message can help you check the rendered files in your submission for clarity. If you have any questions, please feel free to open an issue in {sandpaper}.

If you have files that automatically render output (e.g. R Markdown), then you should check for the following:

• 🎯 correct output
• 🖼️ correct figures
• ❓ new warnings
• ‼️ new errors

Rendered Changes

🔍 Inspect the changes: https://github.com/carpentries-incubator/deep-learning-intro/compare/md-outputs..md-outputs-PR-434

The following changes were observed in the rendered markdown documents:

 5-outlook.md | 16 ++++++++++++++++
 md5sum.txt   | 38 +++++++++++++++++++-------------------
 reference.md |  1 +
 3 files changed, 36 insertions(+), 19 deletions(-)

What does this mean?

If you have source files that require output and figures to be generated (e.g. R Markdown), then it is important to make sure the generated figures and output are reproducible.

This output provides a way for you to inspect the output in a diff-friendly manner so that it's easy to see the changes that occur due to new software versions or randomisation.

⏱️ Updated at 2024-01-24 08:51:05 +0000

[dsmits]

Toppie! 👍