Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

Recent research from the University of suggests that retraining only small parts of AI models can significantly reduce costs and help prevent the models from forgetting previously learned tasks. This finding is crucial for enterprises that rely on large language models, as it offers a more efficient way to customize these models without sacrificing their overall capabilities. By focusing on targeted retraining, businesses can maintain performance while optimizing their resources, making AI technology more accessible and effective.