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Update README.md

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@@ -386,7 +386,7 @@ as evidenced by evaluation results on Singapore's [Multitask National Speech Cor
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  Here we provide a code snippet illustrating the process of loading both the processor and model, alongside detailed instructions on executing the MERaLiON-AudioLLM model for content generation.
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  > [!WARNING]
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- > This model has not been trained to use a system prompt or to use tool calling.
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  ### Inference
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@@ -535,9 +535,9 @@ for o in outputs:
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  print(generated_text)
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  ```
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- ## Bias, Risks, and Limitations
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- The current MERaLiON-AudioLLM has not been aligned for safety. Developers and users should perform their own safety fine-tuning and related security measures. In no event shall the authors be held liable for any claim, damages, or other liability arising from the use of the released weights and codes.
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  This research is supported by the National Research Foundation, Singapore, and Infocomm Media Development Authority, Singapore under its National Large Language Models Funding Initiative. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore and Infocomm Media Development Authority, Singapore.
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  Here we provide a code snippet illustrating the process of loading both the processor and model, alongside detailed instructions on executing the MERaLiON-AudioLLM model for content generation.
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  > [!WARNING]
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+ > **Out of Scope use**: This model is not intended for use in tool calling, math, and coding tasks.
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  ### Inference
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  print(generated_text)
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  ```
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+ ## Disclaimer
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+ The current MERaLiON-AudioLLM has not been specifically aligned for safety and may generate content that is inappropriate, offensive, or harmful. Developers and users are responsible for performing their own safety fine-tuning and implementing necessary security measures. The authors shall not be held liable for any claims, damages, or other liabilities arising from the use of the released models, weights, or code.
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  This research is supported by the National Research Foundation, Singapore, and Infocomm Media Development Authority, Singapore under its National Large Language Models Funding Initiative. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore and Infocomm Media Development Authority, Singapore.
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