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LoRA (Low-Rank Adaptation)

Language models

LoRA is a lightweight fine-tuning method. Instead of changing the billions of weights in a model, it trains small additional matrices, adapters of a few megabytes, that sit on top of the original model without altering it. The same model can then be specialised for several uses at a much lower computing cost.

In practice at Gensai

LoRA is Gensai's preferred option when an open-weight model needs to adopt the vocabulary or tone of a profession without full retraining.

Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.

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