I've built BiasCheck: Critical Query Template. This is a tool designed to help users get more nuanced and reliable outputs from large language models, especially when dealing with sensitive subjects.
The template works by structuring prompts to encourage the LLM to consider multiple viewpoints and acknowledge its information sources. The goal is to surface potential biases inherent in the AI's training data or the way a question is framed. By prompting for source awareness, it pushes the AI towards providing more evidence-based and comprehensive answers.
This tool is for anyone using LLMs for research, content creation, or analysis where accuracy and a balanced perspective are important. If you're concerned about AI-generated content being one-sided or lacking depth, BiasCheck aims to provide a more critical and informed response.
Get BiasCheck: Critical Query Template here: BiasCheck: Critical Query Template
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