I wanted to start a broader mistakes and lessons thread around Gemma Models.
A useful angle is data quality, but it also connects with prompt design. 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 Gemma Models is genuinely useful and where it still needs improvement.
A useful angle is data quality, but it also connects with prompt design. 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 Gemma Models is genuinely useful and where it still needs improvement.