Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- Can you explain what specific design principles of fair and transparent language models?
- How can pre-defined constraints and evaluation criteria be used to steer a model's output towards less biased results?
- What techniques can be implemented to prevent a model's outputs from being influenced by potentially toxic or abusive concepts?
- Can bias in a model's prior knowledge or training data compromise its accountability and responsibility features?
- How could using explainability techniques or counterfactuals enhance understanding about the decision-making process?
- Can you discuss why providing clear and concise disclaimers or warnings of potential inaccuracies or imbalanced results is crucial?
- What role does auditability play in ensuring accuracy and accountability of a prompt engineered LLM?
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