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The responses it produced does not seem acurate, although the demonstration on the tutorial seems very accurate, here is an example conversation:
Hi, how are you
Seems very strange Facebook is mainly blue because Zuckerburg
Yea, that is kinda strange, he must like the color blue
Seems very strange Facebook is mainly blue because Zuckerburg
What kind of music do you like?
It is amazing when you try to understand the tech behind
Yes it is, what are some things you like to do?
i thought that too And they have eureka moments
The conversation makes no sense, it seems to be pulling random data out of the dataset, how can I fix this?
The text was updated successfully, but these errors were encountered:
The responses it produced does not seem acurate, although the demonstration on the tutorial seems very accurate, here is an example conversation:
Hi, how are you
Seems very strange Facebook is mainly blue because Zuckerburg
Yea, that is kinda strange, he must like the color blue
Seems very strange Facebook is mainly blue because Zuckerburg
What kind of music do you like?
It is amazing when you try to understand the tech behind
Yes it is, what are some things you like to do?
i thought that too And they have eureka moments
The conversation makes no sense, it seems to be pulling random data out of the dataset, how can I fix this?
It all depends on how big and accurate is your dataset. I used really small dataset for the sole purpose of tutorial. You need to have really big data at least 100000 pairs for model to provide accurate conversation.
The responses it produced does not seem acurate, although the demonstration on the tutorial seems very accurate, here is an example conversation:
The conversation makes no sense, it seems to be pulling random data out of the dataset, how can I fix this?
The text was updated successfully, but these errors were encountered: