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The problem with GPTs-as-products is that differentiation is almost impossibly opaque. How many “amazing prompts” have you tried from Twitter or Reddit only to
by extr 3y ago
The problem with GPTs-as-products is that differentiation is almost impossibly opaque. How many “amazing prompts” have you tried from Twitter or Reddit only to find they cause the model to behave in slightly undesirable ways in certain scenarios. Or perhaps the output is basically the same as you would get from your own custom “do this thing” instruction? Beyond giving access to the latest documentation or meaningful performance leaps (like chain of thought prompting), it’s simply too hard to informally A/B test them against each other and decide if one is actually better than another. I know for me I’ve almost given up on custom instructions because the code that comes out of my most intricate system prompt is only superficially better.
- gremlinsinc 3y agoThe genius will be in delivering options, that's what I'd use it for. Say you run an etsy shop and you want it to go out, get the top bestselling listings for x keyword, you want it to examine each image using vision, every keyword in title, description, tags, etc -- and then give you ten titles, and then after you pick a title it'll give you options to build a description. If you need something exact and on target, well that's going to be a problem - if you just need very targeted highly filtered and maximized choices to solve a problem - that's where this shines.