How would you deal with data redundancy when generating diverse AI content for marketing campaigns in different industries

Question

Can i know How would you deal with data redundancy when generating diverse AI content for marketing campaigns in different industries?

Answer 1

Yes, handling data redundancy in AI-generated marketing content requires deduplication techniques, diversity-promoting loss functions, and contrastive learning. Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Uses sentence embeddings to identify semantically redundant content.

• Computes cosine similarity scores to detect duplicates.

• Filters out repetitive marketing text while ensuring diversity.

Hence, AI-generated marketing content remains diverse and engaging by applying deduplication and semantic filtering techniques.