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Found that smaller AI models actually work better for my niche writing
I kept feeding my articles into GPT-4 to help with editing, but every time it would make my technical explanations sound like a college textbook. After 3 weeks of frustration I tried a smaller model trained on plain English texts instead. It fixed the overcomplication issue immediately and kept my natural voice intact. Has anyone else found that bigger isn't always better for specific writing tasks?
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kaigibson1mo ago
Is this like how my cheap blender actually makes smoother smoothies than my friend's expensive one? Seems like sometimes less features just means less stuff to go wrong or overdo things.
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shanef341mo ago
That's exactly what I'm saying lol. The cheap blender doesn't have some fancy "pulse" setting that just beats the fruit into submission instead of properly mixing it. Same thing happens with these language models, they try to do too much and end up messing up the simple stuff. Give me the model that just does one thing right instead of trying to write a poem, do math, and explain quantum physics all at once. The expensive blender crowd gets mad when you point this out too, like they paid for features they never use.
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