Comments (3)
For Python, wrapping the prompt as a comment with triple quotes may help. E.g., for 350M mono
''' Create a function called num_in_str() to check whether a string contains a number. '''
yields
''' Create a function called num_in_str() to check whether a string contains a number. '''
def num_in_str(str):
''' Check whether a string contains a number. '''
return str.isdigit()
The larger models may sample code which is more correctly aligned with your intention.
Otherwise, provide a few pairs (language, code) as a prefix to the context to convey the format.
Let me know if this helps.
from codegen.
For a multi-turn conversation, one approach is to concatenate the history of (prompt, code) pairs.
Say, sample code4 conditionally on "prompt1 \n code1 \n prompt2 \n code2 \n prompt3 \n".
from codegen.
Thanks! That works better.
How would this work for multi-turn conversation?
Could you provide an example input which shows a multi-turn prompt?
Thank you in advance.
from codegen.
Related Issues (20)
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