Hacker News with Generative AI: Interpretability

PiML: Python Interpretable Machine Learning Toolbox (github.com/SelfExplainML)
PiML (or π-ML, /ˈpaɪ·ˈem·ˈel/) is a new Python toolbox for interpretable machine learning model development and validation.
Machine Learning, Python, Open Source, Tools, Interpretability
97 points by skadamat 16 days ago | 20 comments
Interpreting Clip with Sparse Linear Concept Embeddings (SpLiCE) (arxiv.org)
CLIP embeddings have demonstrated remarkable performance across a wide range of computer vision tasks. However, these high-dimensional, dense vector representations are not easily interpretable, restricting their usefulness in downstream applications that require transparency.
Computer Vision, Machine Learning, Embeddings, Interpretability, Artificial Intelligence
7 points by fzliu 48 days ago | 0 comments
Light Recurrent Unit: An Interpretable RNN for Modeling Long-Range Dependency (mdpi.com)
Long-Range Dependencies, Interpretability, Machine Learning, Deep Learning
7 points by PaulHoule 87 days ago | 0 comments
Steering Characters with Interpretability (dmodel.ai)
AI, Machine Learning, Interpretability, Language Models
23 points by atondwal 99 days ago | 3 comments
A Multimodal Automated Interpretability Agent (arxiv.org)
Artificial Intelligence, Machine Learning, Interpretability
83 points by el_duderino 120 days ago | 7 comments
Logit Prisms: Decomposing Transformer Outputs for Mechanistic Interpretability (neuralblog.github.io)
Machine Learning, Interpretability, Transformers
49 points by xcodevn 157 days ago | 8 comments