March 25, 2024, 9 a.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

Large language models (LLMs) have revolutionized natural language processing (NLP) by achieving remarkable performance across tasks such as text generation, translation, sentiment analysis, and question-answering. Efficient fine-tuning is crucial for adapting LLMs to various downstream functions. It allows practitioners to utilize the model’s pre-trained knowledge while requiring less labeled data and computational resources than training […]


The post LlamaFactory: A Unified Machine Learning Framework that Integrates a Suite of Cutting-Edge Efficient Training Methods, Allowing Users to Customize the Fine-Tuning of …

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