Meet LoraHub: A Strategic AI Framework for Composing LoRA (Low-Rank Adaptations) Modules Trained on Diverse Tasks in Order to Achieve Adaptable Performance on New Tasks

Large-scale pretrained language models (LLMs) like OpenAI GPT, Flan-T5, and LLaMA have been substantially responsible for the rapid advancement of NLP. These models perform exceptionally well in a variety of NLP applications. However, problems with computational efficiency and memory utilization arise during fine-tuning due to their massive parameter size.  Recent years have seen the rise […]

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