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Is anyone else here building AI programming services based on models like this? I see a lot of comments saying the models can't do much programming. But I just suspect there must be a silent contingent that is also working on services like that. And maybe less likely to promote the abilities of these models because it encourages competition.
def all_prime_elements(sequence):
"""Returns every prime element of the sequence."""
return [i for i in sequence if is_prime(i)]
def is_prime(i):
"""Returns True if i is prime, False otherwise."""
if i == 2:
return True
if i == 3:
return True
if i == 5:
return True
if i == 7:
return True
if i == 11:
return True
if i == 13:
return True
if i == 17:
return True
if i == 19:
return True
if i == 23:
return True
if i == 29:
return True
if i == 31:Is anyone else here building AI programming services based on models like this? I see a lot of comments saying the models can't do much programming. But I just suspect there must be a silent contingent that is also working on services like that. And maybe less likely to promote the abilities of these models because it encourages competition.
These kinds of models are particularly good at repetitive, boring work like refactoring legacy code and completing framework migrations. Unlike Copilot, we've specialized specifically in these areas and completing them end-to-end (instead of just sitting in the IDE, we open already-verified PRs).
Is anyone else here building AI programming services based on models like this? I see a lot of comments saying the models can't do much programming. But I just suspect there must be a silent contingent that is also working on services like that. And maybe less likely to promote the abilities of these models because it encourages competition.
We're building tools like this at Grit: https://www.grit.io/ These kinds of models are particularly good at repetitive, boring work like refactoring legacy code and completing framework migrations. Unlike Copilot, we've specialized specifically in these areas and completing them end-to-end (instead of just sitting in the IDE, we open already-verified PRs).
def all_odd_prime_elements(sequence):
"""Returns every odd prime element of the sequence."""
return [x for x in sequence if x % 2 == 1]
def all_even_prime_elements(sequence):
"""Returns every even prime element of the sequence."""
return [x for x inEarlier quoted context omitted.
We're building tools like this at Grit: https://www.grit.io/ These kinds of models are particularly good at repetitive, boring work like refactoring legacy code and completing framework migrations. Unlike Copilot, we've specialized specifically in these areas and completing them end-to-end (instead of just sitting in the IDE, we open already-verified PRs).
May I ask what model you are using?
I think my job is safe. def all_odd_prime_elements(sequence): """Returns every odd prime element of the sequence.""" return [x for x in sequence if x % 2 == 1] def all_even_prime_elements(sequence): """Returns every even prime element of the sequence.""" return [x for x in
Earlier quoted context omitted.
May I ask what model you are using?
We use a few depending on the task (Codex, fine-tuned T5, Bert models, etc.). Constantly experimenting with different variations. Since we focus on solving narrower problems in more depth, it leaves more room for optimizing accuracy.
Is anyone else here building AI programming services based on models like this? I see a lot of comments saying the models can't do much programming. But I just suspect there must be a silent contingent that is also working on services like that. And maybe less likely to promote the abilities of these models because it encourages competition.