Recent content by liam8151

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    Key things to know about AI for LinkedIn and privacy considerations

    A useful way to understand AI for LinkedIn is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is privacy considerations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...
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    Datasets explained: a practical look at beginner tips

    One thing worth trying with Datasets explained: a practical look at beginner tips is a controlled comparison around datasets and practical. Use the same input for each test and note what changes in the output rather than judging from a single run. It also gives you a cleaner baseline if you want...
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    Understanding General AI Discussion: learning curve and reliability

    A practical understanding of General AI Discussion starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is learning curve. Define what a good result looks like before changing tools or settings, then test one variable at a...