Here's one possible implementation of valueOf: import numpy as np def valueOf(*v): return sum( v * np.power(10,range(len(v)))[::-1] ...
Here's one possible implementation of valueOf: import numpy as np def valueOf(*v): return sum( v * np.power(10,range(len(v)))[::-1] ) > valueOf( 2,3,4 ) # => 234 Also, in python 2.7, I don't think you can put a named variable proceeding a wildcard? At least, that doesn't work for me, so I left it out.
Posted by beambot on May 11, 2015, 10:42 PM
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The biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
The biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
(My comment is about detached houses).
The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
> steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
Why is there no comparison with FLUX 3 Image?
> our Git monorepo was developing an annoying problem Sentences like this are so common from people using monorepos that I am convinced ...
Why is there no contact form?
Here's one possible implementation of valueOf: import numpy as np def valueOf(*v): return sum( v * np.power(10,range(len(v)))[::-1] ...
Here's one possible implementation of valueOf: import numpy as np def valueOf(*v): return sum( v * np.power(10,range(len(v)))[::-1] ) > valueOf( 2,3,4 ) # => 234 Also, in python 2.7, I don't think you can put a named variable proceeding a wildcard? At least, that doesn't work for me, so I left it out.
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