A tool for auditing bias through large language models
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Updated
Jan 19, 2026 - Python
A tool for auditing bias through large language models
The package aims to provide a structured analysis of user-generated content on platforms like Stack Exchange by determining the monthly volume of questions asked. This is useful for understanding comm
A new package designed to facilitate structured and reliable analysis of user input related to software refactoring in the context of LLM capabilities. It accepts a user's discussion or question about
eduai-friction is a package promoting informed discussions around AI in education by analyzing "Four Frictions" and providing actionable steps.
A new package would provide a text input describing a system, event, or scenario, and return a structured analysis based on Nassim Taleb's concepts of Black Swan events and antifragility. It would ide
A new package that takes a user's text input about floating-point arithmetic or SIMD programming challenges and returns a structured analysis of potential associativity issues. It uses an LLM to gener
e-Broker system using Structured Analysis, UML and Structured Design techniques
Analyzing the GTD dataset to provide insights on how the nature, tactics, and cross-border dynamics of terrorism evolved in Europe from 2000 to 2020
A complete analysis of all functional requirements and specifications of a to-be-deployed system, comparing a process-driven to an object-oriented approach.
Course of 42 in collaboration with unifi and prof. Vicario about structured programming, structured analysis and structured design
🔍 Track contradictions in AI and human content with LBOS-LCAS, enhancing bias and coherence analysis for clearer understanding and insights.
🔍 Analyze AI adoption frictions in education with eduai_friction, a tool for identifying challenges and developing actionable solutions for better integration.
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