Recent content by connor_u2p

There are several ways to approach GPUs for Local AI, so I wanted to compare experiences. I am particularly interested in troubleshooting and limitations. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for you...

I think future and improvements is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That way you can improve the workflow without losing track of what caused the improvement.

I wanted to start a broader productivity ideas thread around GPUs for Local AI. A useful angle is productivity, 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...