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README.md
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## Intended Uses & Limitations
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The **Llama-se
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It is intended to demonstrate a Large Language Model's ability to follow a target behavior (in this case, generating answers to a question that would have been rated more highly on SE).
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It is not intended to replace human expertise, and answers should be validated through the use of external sources.
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Further research is also needed to attribute model generations to sources in the training data, especially in cases where the model may copy answers from the training data *verbatim*.
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## Limitations and Bias
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The **Llama-se
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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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## Intended Uses & Limitations
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The **Llama-se** model was trained for long form QA using [Stack Exchange](https://stackexchange.com) data wich is released under a [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/), and covers topics such as programming, mathematics, and physics.
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It is intended to demonstrate a Large Language Model's ability to follow a target behavior (in this case, generating answers to a question that would have been rated more highly on SE).
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It is not intended to replace human expertise, and answers should be validated through the use of external sources.
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Further research is also needed to attribute model generations to sources in the training data, especially in cases where the model may copy answers from the training data *verbatim*.
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## Limitations and Bias
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The **Llama-se** 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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