Recent content by ninja_noah

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    Local LLMs explained: a practical look at data quality

    A practical understanding of Local LLMs starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is data quality. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...
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    Interesting ways to use AI CPUs & NPUs for tool comparison

    I wanted to start a broader tool comparison thread around AI CPUs & NPUs. A useful angle is testing, but it also connects with setup choices. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...