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README.md
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@@ -34,6 +34,10 @@ AISAK undergoes rigorous testing across diverse input data types, consistently d
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- While AISAK demonstrates proficiency in text generation, it might not be the most suitable option for tasks that necessitate domain-specific knowledge.
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- The model's performance could exhibit variations when confronted with highly specialized or out-of-domain textual data.
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### Caveats:
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- It is recommended for users to double-check important decisions relying on AISAK's predictions, particularly in high-stakes scenarios.
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- While AISAK demonstrates proficiency in text generation, it might not be the most suitable option for tasks that necessitate domain-specific knowledge.
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- The model's performance could exhibit variations when confronted with highly specialized or out-of-domain textual data.
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### Deployment:
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I am currently having trouble deploying the model in a conversational instance with conversational history and context. At the current moment it's only been tested as a Q/A, if no knowledge of the previous input OR output, if anyone knows how to solve this setback, please do contact me at [email protected].
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### Caveats:
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- It is recommended for users to double-check important decisions relying on AISAK's predictions, particularly in high-stakes scenarios.
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