Step-by-step evaluation tutorial for Large Language Models

[theowizard14]

This tutorial shows a simple repeatable way to work with Large Language Models while focusing on evaluation.

Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start.

Step 2: Prepare a small representative example. Test with something easy to inspect before scaling the workflow up.

Step 3: Configure the tool or prompt around evaluation. Change one important setting at a time and keep a copy of the result.

Step 4: Check performance. Verify factual claims, code, links, files, or generated media before relying on the output.

Step 5: Save the version that worked and turn it into a reusable template. Repeat the same test with a few different examples to make sure the result is consistent.

 

[lola_4pwi]

It may be worth simplifying step temporarily. If the simpler version works reliably, you can add the extra pieces back one at a time. It also gives you an easy point to roll back to if the next change makes things worse.