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While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation. The quality of outputs depends heavily on training data, adjusting the model’s parameters and promptengineering, so responsible data sourcing and bias mitigation are crucial.
Lastly, if you don’t want to set up custom integrations with large data sources, you can simply upload your documents and support multi-turn conversations. With promptengineering, managed RAG workflows, and access to multiple FMs, you can provide your customers rich, human agent-like experiences with precise answers.
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