Transformers
PyTorch
English
trl
rlhf

Fixing markdown typos

#4
by yjernite HF staff - opened
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -36,8 +36,8 @@ Further research is also needed to attribute model generations to sources in the
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  The **Llama-se-rl** model inherits limitations and biases from the Llama model and also those contained in the Stack Exchange dataset.
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  In particular, per the [latest developer survey for Stack Overflow](https://survey.stackoverflow.co/2022/),
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  which constitutes a significant part of the StackExchange data,
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- most users who answered the survey identified themselves as [White or European, men, between 25 and 34 years old, and based in the US (with a significant part of responders from India)] (https://survey.stackoverflow.co/2022/#developer-profile-demographics)
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- While this demographic information likely varies by topic, disparities between the data contributors and the direct and indiriect users of the technology should inform developers in assessing what constitutes an appropriate use case.
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  Additionally, the model may generate answers that are incorrect or misleading due to the inherent limitations of the Llama architecture.
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  The **Llama-se-rl** model inherits limitations and biases from the Llama model and also those contained in the Stack Exchange dataset.
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  In particular, per the [latest developer survey for Stack Overflow](https://survey.stackoverflow.co/2022/),
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  which constitutes a significant part of the StackExchange data,
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+ most users who answered the survey identified themselves as [White or European, men, between 25 and 34 years old, and based in the US (with a significant part of responders from India).](https://survey.stackoverflow.co/2022/#developer-profile-demographics)
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+ While this demographic information likely varies by topic, disparities between the data contributors and the direct and indirect users of the technology should inform developers in assessing what constitutes an appropriate use case.
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  Additionally, the model may generate answers that are incorrect or misleading due to the inherent limitations of the Llama architecture.
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