Recent content by ninamountai

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    Understanding LM Studio: data quality and real-world use

    A useful way to understand LM Studio is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 tell what...
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    Python discussion: creative experiments

    I wanted to start a broader creative experiments thread around Python. A useful angle is limitations, but it also connects with privacy considerations. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...