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they are a compressed version of the data used to train a machine learning
model to accomplish a task like sentiment analysis, speech recognition, object
detection, and many others.
As discussed in PR #400, such examples might not be appropriate for the introduction, at least not without more detail
So the first question is yes/no. Should we include such examples in the intro? Once we answer that question, then we can rewrite the introduction appropriately.
The text was updated successfully, but these errors were encountered:
compressed version of the data used to train a machine learning model to accomplish a task like sentiment analysis, speech recognition, object detection, and many others.
The current Qdrant intro as of 23 Nov includes:
As discussed in PR #400, such examples might not be appropriate for the introduction, at least not without more detail
So the first question is yes/no. Should we include such examples in the intro? Once we answer that question, then we can rewrite the introduction appropriately.
The text was updated successfully, but these errors were encountered: