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For Natural Language Processing, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is data quality. 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...

I have been exploring llama.cpp and wanted to ask people who have tried it in practice. I am particularly interested in creative uses and integration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for you, and...