Finetuning Falcon LLMs More Efficiently With LoRA and Adapters

Finetuning allows us to adapt pretrained LLMs in a cost-efficient manner. But which method should we use? This article compares different parameter-efficient finetuning methods for the latest top-performing open-source LLM, Falcon. Using parameter-efficient finetuning methods outlined in this article, it’s possible to finetune an LLM in 1 hour on a single GPU instead of a … Continue reading Finetuning Falcon LLMs More Efficiently With LoRA and Adapters