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We do not wanna package a sentence-BERT model into the SmartCommand plug-in. Nor do we wanna package the embeddings of commands into it too. Too many floating point numbers. They will make the plug-in too bulky. This is the last resort.
Three options left:
- Download Sentence-BERT model (or whatever Transformer-based model) and run a Python script to embed locally.
- Sending strings to a cloud server to embed. The cloud server can be ours or provided by a third party, such as OpenAI's Plugin API.
- Pre-embed the commands (and their labels/titles) and store in our cloud server. When SmartCommand is first installed, download such embeddings. We can expand the plug-ins supported gradually.
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