This code of conduct outlines the expected behavior of all participants in our LLM-based project. Our goal is to foster a respectful, inclusive, and productive environment while ensuring the ethical use of language models.
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Fairness
- Treat all participants with respect and kindness, valuing diverse perspectives and backgrounds.
- Ensure that our project outputs do not perpetuate bias or discrimination and actively work towards equitable outcomes.
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Reliability and Safety
- Engage in honest discussions and uphold integrity in all interactions.
- Collaborate to enhance the robustness and safety of our LLM applications, ensuring they operate effectively across various conditions.
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Privacy and Security
- Safeguard personal data and respect privacy in all aspects of project work.
- Ensure that any data used complies with ethical standards and does not infringe on the rights of individuals or organizations.
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Inclusiveness
- Foster an inclusive environment where everyone feels empowered to contribute, regardless of their expertise.
- Actively seek input from diverse stakeholders to enhance the project's relevance and impact.
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Transparency
- Communicate openly about project goals, methodologies, and decision-making processes.
- Provide clear explanations for how our LLM systems generate outputs, fostering trust among users and contributors.
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Accountability
- Take responsibility for the impacts of our work, ensuring that we address any unintended consequences promptly.
- If you witness or experience any violations of this code, please report them to the project maintainers promptly. All reports will be treated confidentially and investigated thoroughly.
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Responsible Use of LLMs
- Do not use this project or its outputs to create or disseminate misinformation or engage in malicious activities.
- Avoid applications that promote hate speech, harassment, or any form of discrimination.
By participating in this project, you agree to abide by this code of conduct. Together, we can create a positive impact through responsible use of language models while adhering to ethical standards.