The problem with using generative AI like ChatGPT is that it does not lead you to what you are looking for. To do that, it would be asking more questions than providing answers. Without the dialog, the context of a query is never factored into the search. When AI can determine the context of a query and refine it to the true need and its parameters (e.g., timeframe, cost, quality, purpose, etc.), then it becomes a concierge of discovery. However, to do this requires a lot more processing power and storage than what drives ChatGPT.
That doesn’t negate the benefits of toolsets like ChatGPT in the interim.
Sometimes it gets the right answer and sometimes it gives me a terrible answers / code examples but overall I like having it in my toolbox and I like the improved relevancy that I’m getting so far.
I don’t think it’s the end all be all but, even as a stepping stone to something greater, it’s pretty useful and provides value.
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