How can you build trust in fine-tuned models used in critical applications through XAI?

Jul 13, 2023 ... Fine-tuning to another language ... What is the best option, if we need a model for a downstream task in another language from the base model? Noble Cortex is seeking a Machine Learning Engineer with a passion for speech recognition and Large Language Model (LLM) fine-tuning. This role provides the ... Deep learning practice is increasingly driven by powerful foundation models (FM), pre-trained at scale and then fine-tuned for specific tasks of interest. Nov 7, 2020 ... This study aimed at evaluating the layer depths and degree of fine-tuning on transfer learning with a deep convolutional neural network (CNN)-based COVID-19 ... Feb 13, 2025 ... Fine-tuning is a powerful technique in machine learning, allowing pre-trained models to be adapted to specific tasks with minimal computational cost. Feb 25, 2025 ... AI model fine-tuning is the process that data scientists and machine learning (ML) engineers use to adapt a trained ML model to perform better ... We investigate generalization properties of fine-tuning to understand the problem of overfitting, which often happens in practice. Dec 15, 2023 ... Deep learning practice is increasingly driven by powerful foundation models (FM), pre-trained at scale and then fine-tuned for specific ... Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... May 24, 2019 ... It integrates the huggingface library with the fastai library to fine-tune the BERT model, with an application on an old Kaggle competition.