How can fine tuning be used for zero-shot learning tasks?

We present GOODFIT, one of the first optimizers that has been specifically designed to operate on converged models that need to be incrementally fine-tuned ... Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... Dec 10, 2024 ... Fine-tuning improves the performance of a pre-trained model for a specific use case by tailoring it to a specific task. The process adjusts the ... Sep 13, 2018 ... Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images, Mahmood, Faisal, Chen, ... Apr 2, 2025 ... Generative AI models or foundation models are large ML models pre-trained with the intention that they are to be fine-tuned for more specific ... Jul 17, 2023 ... As a machine learning practitioner, you might often find yourself in a situation where you're fine-tuning a pre-trained model for your specific ... Fine-Tuning in Modern Machine Learning: Principles and Scalability. Fanghui Liu, Grigorios Chrysos, Beidi Chen, Rebekka Burkholz, Saleh Soltan, Angeliki ... May 2, 2022 ... An Indonesian recipe generator Deep Learning model trained by fine-tuning pre-trained models such as T5, BART, and GPT-2 only fine-tune the last layer of the deep neural network: here, the last layer of the source model is kept but serves as an initialization of the target Machine ... Jul 2, 2024 ... This study aims to enhance precision of a popular commercial DLAS product in rectal cancer radiotherapy by localized fine-tuning.