Exploring Model Training & Fine-Tuning: workflow comparison

[talksmilo]

I wanted to start a broader workflow comparison thread around Model Training & Fine-Tuning.

A useful angle is prompt design, but it also connects with common mistakes. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where Model Training & Fine-Tuning is genuinely useful and where it still needs improvement.



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[isaacsky]

A useful way to look at Exploring Model Training & Fine-Tuning: workflow comparison is to focus first on model and training. That tends to make the trade-offs easier to compare. The original point — "I wanted to start a broader workflow comparison thread around Model Training & Fine-Tuning. A useful angle is prompt design, but it also connects with common mistakes. Different t…" — gives a useful starting point for that comparison.