How can I train AI for better contextual understanding?
To train AI for contextual understanding, you should focus on using diverse datasets that include various contexts.
What types of datasets are best for this?
Datasets that include conversations, articles, and scenarios with rich context are ideal. Consider using annotated data.
How do I annotate the data effectively?
You can annotate data by labeling context-specific elements, such as intent, entities, and sentiment, to help the AI learn.
Are there any tools that can help with data annotation?
Yes, tools like Prodigy, Labelbox, and Amazon SageMaker Ground Truth can assist in data annotation for AI training.
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