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Related Questions
- What types of cognitive biases might Qwen display when processing text data and producing responses?
- Are there any potential pitfalls that Qwen might confront during its training process from biases in the data itself?
- How do factors like data curation and annotation influence the possibility of Qwen learning or manifesting biases?
- Can Qwen absorb, amplify, or diffuse linguistic and cultural biases encoded within its training data and context?
- If so, what specific training procedures or techniques could the designers of Qwen engage with to mitigate or decrease learned biases?
- Considering the nature of multichannel communication, social contagion, and polarization might Qwen learn through echo chambers or echo channels.
- How realistic would it be to reinitialise Qwen while minimising the potentiality that it will acquire unrepresented or unaccountable forms of bias?
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