How can explainable AI (XAI) techniques be used to understand the behavior of fine-tuned models in production?

Mar 16, 2020 ... This paper presents segmentation of multiple organ regions from non-contrast CT volume based on deep learning. Also, we report usefulness of fine-tuning. Jun 1, 2022 ... Award Share. Community Info Section. r/deeplearning. Join. Deep Learning. 192K Members. 56 Online. Top 1% Rank by size. More posts you may like. Jan 31, 2025 ... Transforming a foundation LLM into a solution that meets an application's needs requires a process called fine-tuning. Course Q&A Deep Learning Specialization Convolutional Neural Networks · Marios_Constantinou July 24, 2022, 12:39pm 1. I have a ResNet50 model with 190 ... Aug 16, 2024 ... The very last classification layer (on "top", as most diagrams of machine learning models go from bottom to top) is not very useful. Instead ... Dec 15, 2023 ... Deep learning practice is increasingly driven by powerful foundation models (FM), pre-trained at scale and then fine-tuned for specific ... Learn the fundamentals of finetuning a large language model (LLM). Understand how finetuning differs from prompt engineering, and when to use both. Oct 8, 2024 ... Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery. LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks ... Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ... Jan 25, 2024 ... Learn Machine Learning. Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is ...