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Can't you just run a few examples by hand to see how they perform for your tasks, before committing to any for production?
by dataflow 1y ago
Can't you just run a few examples by hand to see how they perform for your tasks, before committing to any for production?
- runako 1y ago> before committing to any for production I'm talking about ChatGPT, which is a Web and desktop app where users run interactive sessions. What does "production" mean in this sense?
- dataflow 1y agoI think I misunderstood what people were talking about. Somehow I thought it was about their APIs, for specific uses in other apps.
- runako 1y agoTo their credit, they did get this part correct. "ChatGPT" is the user-facing apps. The models have terrible names that do not include "ChatGPT". Anthropic, by contrast, uses the same name for the user-facing app and the models. This is confusing, because the user-facing apps have capabilities not native to the models themselves.
- hluska 1y agoIt’s simple - practice using them instead of complaining. Maybe you’ll figure out the differences on your own.
- BobaFloutist 1y agoImagine if this is what people suggested when I asked what kind of screwdriver I should use for a given screw, because they're all labelled, like, "Phillips. Phillips 2.0. Phillips.2.second. Phillips.2.second.version 2.0. Phillips Head Screwdriver. Phillips.2.The.Second.Version. Phillips.2.the.second.Version 2.0"
- runako 1y agoAs a person who uses LLMs daily, I do in fact do this. Couple problems with this approach: - there are billions of people who are not accustomed to using software this way, who are in the expected target market for this software. Most people cannot tell you the major version number of their mobile OS. - this approach requires each individual to routinely perform experiments with the expanding firmament of models and versions. This is obviously user-hostile. Anyway, my hot take here is that making things easier for users is better. I understand that is controversial on this site.