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Currently, this new Rust implementation of the backend simply uses pretrained language models for generating text. However, the initial vision of Dual included the possibility of using a language model fine-tuned on the user's corpus for this task. Therefore, a custom model should be easy to use as a drop-in replacement, possibly by simply placing custom model files at a certain relative path.
The text was updated successfully, but these errors were encountered:
Currently, this new Rust implementation of the backend simply uses pretrained language models for generating text. However, the initial vision of Dual included the possibility of using a language model fine-tuned on the user's corpus for this task. Therefore, a custom model should be easy to use as a drop-in replacement, possibly by simply placing custom model files at a certain relative path.
The text was updated successfully, but these errors were encountered: