How can I troubleshoot contextual embedding issues in my AI model?

How can I troubleshoot contextual embedding issues in my AI model?

To troubleshoot contextual embedding issues, start by checking your training data for quality and relevance.

What specific aspects of the training data should I focus on?

Focus on the diversity and size of the dataset, as well as ensuring it covers various contexts relevant to your application.

Are there any common errors I should look for in the embeddings?

Yes, look for issues like overfitting, underfitting, or embeddings that do not capture the intended semantic relationships.

How can I evaluate the performance of my embeddings?

You can evaluate performance using metrics like cosine similarity, or by testing the embeddings in downstream tasks.