Fit interpretable models. Explain blackbox machine learning.
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Updated
Sep 19, 2024 - C++
Fit interpretable models. Explain blackbox machine learning.
ChaiWithPy - the technical blog with a dash of tea
Code for the paper 'Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?'
A collection of inspiring resources related to engineering management and tech leadership
A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
It is a repository of operating systems complete playlist with notes
Bias Auditing & Fair ML Toolkit
Evaluating gender and ethnicity bias across 8 LLMs, and using NLE for bias evaluation and mitigation
This is the repo for the survey of Bias and Fairness in IR with LLMs.
Bias detection and contextual evaluation tool for your AI projects
The bias of a single-precision floating-point number's exponent.
The maximum biased base 2 exponent for a subnormal single-precision floating-point number.
The minimum biased base 2 exponent for a subnormal single-precision floating-point number.
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