jrank

5 ms·

1. 1.▲
   by jrank 1y ago

   Yes, LLM don't improve as humans do, but they could use other tools for example designing programs in Prolog to expand their capabilities. I think that the next step in AI will be LLM being able to use better tools or strategies. For
2. 2.▲
   by jrank 1y ago

   guvectorize in numba seems to be a good approximation to the rank concept I mentioned, but is not a complete solution. Unfortunately I don't have the time now to study it and make a complete comparison, but guvectorize is in the good d
3. 3.▲
   by jrank 1y ago

   The post I referenced before shows that broadcast is not a general solution.
4. 4.▲
   by jrank 1y ago

   If you have a a Numpy function that takes for example two arguments, my proposal is to add a optional argument that allows that function to be applied to cells of dimensions i and j by function_name(a,b,range=(i,j)) so that the function is
5. 5.▲
   Why did not numpy copy the J rank concept?

   14 points by jrank 1y ago|6 comments