I wanted to start a broader community experiences thread around Large Language Models.
A useful angle is data quality, but it also connects with security. 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 Large Language Models is genuinely useful and where it still needs improvement.
Photo by on
A useful angle is data quality, but it also connects with security. 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 Large Language Models is genuinely useful and where it still needs improvement.
Photo by on
