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venturebeat
Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting
Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its abilities. After fine-tuning, some models “forget” how to perform certain tasks or other tasks they already learned. Research from the University of Illinois Urbana-Champaign proposes a new method for r [...]
