ChatGPT SearchSep 23, 2026
Captum — useful if your models are built with PyTorch; it provides techniques such as integrated gradients, saliency, and feature attribution.
Data as of Oct 7, 2026Based on 23,618 AI responses
Reviewed by Dimitry Apollonsky ·
AI summary
Captum is an open-source model interpretability library built on PyTorch for evaluating attribution methods across multimodal deep learning models. It comes up when developers investigate why confident models produce incorrect outputs or seek tools to debug production Transformer models.
<1%No change
of AI answers about Captum and its rivals. Since Jul 5
The market map
Explainable AI & Model Monitoring PlatformsMentioned in
Question: We are investigating why our model is confident but wrong. Who provides explainable AI (XAI) tools?
ChatGPT SearchSep 23, 2026
Captum — useful if your models are built with PyTorch; it provides techniques such as integrated gradients, saliency, and feature attribution.
Since Jul 5
Captum's share in each topic, as its page ranks it
Rank
Where Captum ranks in AI
Question: We are investigating why our model is confident but wrong. Who provides explainable AI (XAI) tools?
Google AI ModeSep 23, 2026
Captum: Built specifically for PyTorch, Captum provides generic gradient-based attribution methods
Question: We are losing user trust due to non-explainable decisions. Who specializes in Explainable AI (XAI) and feature attribution?
Google AI ModeSep 10, 2026
Captum: An open-source, model-interpretability library built for PyTorch
Position in the answer
Weeks of Aug 17 – Sep 27, 2026
Common descriptions
open-source · built specifically for pytorch · excellent · interpretability library · model interpretability library · useful
Excerpts where Captum appeared in the AI's answer
Captum — useful if your models are built with PyTorch; it provides techniques such as integrated gradients, saliency, and feature attribution.
Captum: Built specifically for PyTorch, Captum provides generic gradient-based attribution methods
Excerpts where Captum appeared in the AI's answer
Captum: An open-source, model-interpretability library built for PyTorch
Captum: Built by Meta specifically for PyTorch, it is an efficient library for model interpretability and generic feature attribution (supporting Integrated Gradients, DeepLift, etc.) for deep learning and computer vision/NLP models.
Excerpts where Captum appeared in the AI's answer
Captum (by PyTorch) - What it is: A production-ready model interpretability and feature attribution framework.
Excerpts where Captum appeared in the AI's answer
Captum: Designed for PyTorch models, Captum provides algorithms like Integrated Gradients to provide feature attributions.
