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Added small clarification related to pretrained models #10658

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Jan 11, 2022
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Added small clarification related to pretrained models #10658

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Added small clarification related to pretrained models
koaning Jan 11, 2022
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Update docs/docs/components.mdx
koaning Jan 11, 2022
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added line in changelog
koaning Jan 11, 2022
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Merge branch 'main' into clarification
koaning Jan 11, 2022
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3 changes: 2 additions & 1 deletion docs/docs/components.mdx
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Expand Up @@ -1246,7 +1246,8 @@ Intent classifiers assign one of the intents defined in the domain file to incom
single semantic vector space. We use the dot-product loss to maximize the similarity with the target label and
minimize similarities with negative samples.

If you want to learn more about the model, check out the
DIET does not provide pre-trained word embeddings or language models but it is able to use these features if
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they are added to the pipeline. If you want to learn more about the model, check out the
[Algorithm Whiteboard](https://www.youtube.com/playlist?list=PL75e0qA87dlG-za8eLI6t0_Pbxafk-cxb) series on YouTube,
where we explain the model architecture in detail.

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