Efficient Deep Learning Inference Based on Model Compression
We introduce QuanTA, a novel, easy-to-implement, PEFT method with no inference over- head inspired by quantum circuits, enabling efficient high-rank fine-tuning ...
Performance Based Review and Fine-Tuning of TRM-Concrete ...In this approach, we first do a search to find candidate documents, using a fast and simple method, which is called the retrieval phase. We then ... Elicitation and fine-tuning of fuzzy control rules using symbiotic ...Their method consists of two steps, first a general finetuning for general smart con- tract code completion, the authors used the GPT-J-6B model ... QuanTA: Efficient High-Rank Fine-Tuning of LLMs ... - NIPS papersAlgorithm 2 shows the fine-tuning steps. We keep the pre-trained parameters fixed for the first n1 epochs and use a small learning rate in the ...
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