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Vector embeddings: Difference between revisions
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Even if embeddings are not directly used for an application, many popular machine learning models and methods rely on them internally. For instance, in [[encoder-decoder architectures]], the embeddings generated by the encoder contain the required information for the decoder to produce a result. This architecture is widely employed in applications like [[machine translation]] and [[caption generation]]. | Even if embeddings are not directly used for an application, many popular machine learning models and methods rely on them internally. For instance, in [[encoder-decoder architectures]], the embeddings generated by the encoder contain the required information for the decoder to produce a result. This architecture is widely employed in applications like [[machine translation]] and [[caption generation]]. | ||
===Products=== | |||
[[Vector database]] | |||
==Explain {{PAGENAME}} Like I'm 5 (ELI5)== | ==Explain {{PAGENAME}} Like I'm 5 (ELI5)== | ||