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@@ -52,13 +52,21 @@ This model can be particularly useful if you need to quickly summarize large vol
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  * ### Limitations
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- While the model is powerful, it does have some limitations:
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- **Accuracy**: The summaries generated might not always capture all the key points accurately, especially for complex or nuanced texts.
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- **Bias**: The model can inherit biases present in the training data, which might affect the quality and neutrality of the summaries.
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- **Context Understanding**: It might struggle with understanding the full context of very long documents, leading to incomplete or misleading summaries.
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- **Language and Style**: The model’s output might not always match the desired tone or style, requiring further editing.
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- **Data Dependency**: Performance can vary depending on the quality and nature of the input data. It performs best on data similar to its training set (news articles)
 
 
 
 
 
 
 
 
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  ## Training and evaluation data
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  * ### Limitations
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+ * While the model is powerful, it does have some limitations:
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+ * **Accuracy**: The summaries generated might not always capture all the key points accurately, especially for complex or nuanced texts.
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+
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+
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+ * **Bias**: The model can inherit biases present in the training data, which might affect the quality and neutrality of the summaries.
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+
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+
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+ * **Context Understanding**: It might struggle with understanding the full context of very long documents, leading to incomplete or misleading summaries.
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+
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+
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+ * **Language and Style**: The model’s output might not always match the desired tone or style, requiring further editing.
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+
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+ * **Data Dependency**: Performance can vary depending on the quality and nature of the input data. It performs best on data similar to its training set (news articles)
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  ## Training and evaluation data
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