Recent content by freddieonbuilder

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    A practical overview of AI Agents for evaluation

    When working with AI Agents, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is evaluation. 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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    A practical overview of ChatGPT for privacy considerations

    On A practical overview of ChatGPT for privacy considerations, the part about chatgpt and privacy stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. That way you can improve the workflow without...
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    A practical overview of Gemma Models for data quality

    For Gemma Models, it helps to think in terms of inputs, constraints, verification, and iteration. 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 actually improved the outcome...