Recent content by vision_reece

I wanted to start a broader mistakes and lessons thread around Local LLMs. A useful angle is privacy considerations, but it also connects with data quality. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...

For What is the best way to approach getting started for AI Productivity?, I would separate the problem into setup, output quality and repeatability. productivity and getting fits into that because it can change the result quite a lot depending on the workflow. The original point — "I have been...

When working with AI Courses & Certifications, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is learning curve. Define what a good result looks like before changing tools or settings, then test one...