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A useful way to understand Deep Learning is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is prompt design. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...

This tutorial shows a simple repeatable way to work with Llama Models while focusing on troubleshooting. 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...