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README.md
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@@ -199,7 +199,7 @@ Here are some plots of model performance during training:<br>
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Here is an Example Input/Output:<br>
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<img src="example.png"><br>
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Code to finetune a Llama-2_7B_chat model: [Google_Colab_file](https://colab.research.google.com/drive/
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## Ethical Considerations and Limitations
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Llama 2 is a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Llama 2’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts. Therefore, before deploying any applications of Llama 2, developers should perform safety testing and tuning tailored to their specific applications of the model.
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Here is an Example Input/Output:<br>
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<img src="example.png"><br>
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Code to finetune a Llama-2_7B_chat model: [Google_Colab_file](https://colab.research.google.com/drive/1vDyO8pP12VoSjZ5qXZrd1OHUtLNRapte?usp=sharing)
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## Ethical Considerations and Limitations
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Llama 2 is a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Llama 2’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts. Therefore, before deploying any applications of Llama 2, developers should perform safety testing and tuning tailored to their specific applications of the model.
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