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Go to the profile of Rick Shih
Rick Shih in TruLens
Dec 17, 2021

Deep Dive into Neural Network Explanations with Integrated Gradients

A Practitioner’s Guide

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Go to the profile of Shayak Sen
Shayak Sen in TruLens
May 24

TruLens for LLMs, Evaluate and track your LLM experiments

Evaluate and Track your LLM Experiments: Introducing TruLens

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Go to the profile of Klas Leino
Klas Leino in TruLens
Aug 10, 2021

A Hands-on Introduction to Explaining Neural Networks with TruLens

Transparency and Attribution…

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Go to the profile of Anupam Datta
Anupam Datta in TruLens
Aug 10, 2021

Peer deep into neural networks with TruLens

What is TruLens neural network explainability?

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Go to the profile of Anupam Datta
Anupam Datta in TruLens
Aug 24, 2021

Tutorial for explainability for neural network and machine learning models, featured at KDD Singapore 2021

Machine Learning Explainability and Robustness: Connected at the Hip

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Go to the profile of Klas Leino
Klas Leino in TruLens
Nov 4, 2021

Overfitting and Conceptual Soundness in Neural Networks

How feature usage informs our understanding of…

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Go to the profile of Shayak Sen
Shayak Sen in TruLens
Jun 23

Build and Evaluate LLM Apps with LlamaIndex and TruLens

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Go to the profile of Barbara Lewis
Barbara Lewis in TruLens
Aug 4, 2021

TruLens is coming!

We are excited to reveal more about TruLens soon. Watch this space.

About
TruLens
TruLens provides explainability for neural network machine learning models. We’re building a community of developers that are driving AI forward.
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NLP
Llamaindex
Llm
AI
Large Language Models
Deep Learning
Neural Networks
Interpretable Ml
Machine Learning
Explainable Ai
Editors
Go to the profile of Barbara Lewis
Barbara Lewis
Go to the profile of Rick Shih
Rick Shih
Writers
Go to the profile of Shayak Sen
Shayak Sen
Go to the profile of Klas Leino
Klas Leino
Go to the profile of Anupam Datta
Anupam Datta
Go to the profile of Anupam Datta
Anupam Datta