Recent content by reece_2ugk

  1. R

    How do you improve customisation when working with AI Back-End Development?

    I have a question about AI Back-End Development that may be useful for other people working with it too. I am particularly interested in customisation and accessibility. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Are there any...
  2. R

    llama.cpp explained: a practical look at learning curve

    One thing worth trying with llama.cpp explained: a practical look at learning curve is a controlled comparison around llama.cpp and way. Use the same input for each test and note what changes in the output rather than judging from a single run. The original point — "A useful way to understand...
  3. R

    A practical overview of Neural Networks for limitations

    A practical understanding of Neural Networks starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is limitations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...