Recent content by explorescallum

For DeepSeek, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...

One thing worth trying with Understanding Large Language Models: useful tools and productivity is a controlled comparison around large and language. Use the same input for each test and note what changes in the output rather than judging from a single run. That should make it easier to tell...