ADSL works on two metres of wet string (if the water is salty), giving 3.5Mb/s downlink! https://www.revk.uk/2017/12/its-official-adsl-works-over-wet-string.html?m=1
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LLMs are a really accessible machine learning technique. I dabbled with text classifiers a few years ago and the APIs were way more involved.
(system_prompt: String, input: String) -> String
I can prototype with this much more easily!
I've been using "Expected Int, but got String" for my type error messages, but I've been wondering if I could do better.
"Expected Int here, but this value has type String" or "This expression requires Int, but the value is String".
Do you have a favourite?
@tristanC That's an option! There's often cases where you know what the user wanted though, so you can provide a sensible AST that the toolchain can handle.
For example, a malformed string literal can still be parsed a string so type checking etc can be helpful.