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[DOCS] Adds more conceptual info to ELSER (#2433)
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docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc

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@@ -20,9 +20,13 @@ meaning and user intent, rather than exact keyword matches.
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ELSER is an out-of-domain model which means it does not require fine-tuning on
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your own data, making it adaptable for various use cases out of the box.
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Refer to
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https://www.elastic.co/blog/may-2023-launch-information-retrieval-elasticsearch-ai-model[this blog post],
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to learn more about ELSER.
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ELSER expands the indexed and searched passages into collections of terms that
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are learned to co-occur frequently within a diverse set of training data. The
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terms that the text is expanded into by the model _are not_ synonyms for the
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search terms; they are learned associations. These expanded terms are weighted
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as some of them are more significant than others. Then the {es}
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{ref}/rank-feature.html[rank-feature field type] is used to store the terms and
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weights at index time, and to search against later.
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[discrete]

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