What’s the difference between contextual encoders like USE and OpenAI’s text-embedding-ada-002?

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I am new to NLP and still learning about encoders. Just came across Universal Sentence Encoder which can also keep up the context during the semantic search and other operations. Is OpenAI’s text-embedding-ada-002 much more advance or more or less work the same way but can create high dimensional vectors?

I tried using Universal Text Encoders but when I came across ada-002 I found it similar to USE the only difference was it had higher dimensions.

  • machine-learning
  • nlp
  • artificial-intelligence
  • huggingface-transformers
  • transformer-model

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