LoRA fine-tuning of Llama3 large model for intelligent fishery field
Abstract With the rapid development of artificial intelligence technology, large language models (LLMs) have shown tremendous potential in multiple fields. This article aims to explore the use of Low Rank Adaptation (LoRA) technology to fine tune the Llama3 model with increased fishery datasets and...
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| Main Authors: | Yao Song, Chunli Lv, Kun Zhu, Xiaobin Qiu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
|
| Series: | Discover Computing |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s10791-025-09663-6 |
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