Topic Redundancy

Detect redundancy in AI-generated LMS content. Streamline outputs for efficiency and learner engagement.

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Objective: The Topic Redundancy Test identifies whether any topics in the Q&As generated are repeated. This test evaluates the uniqueness and variety of the topics covered in the response. A lower score indicates less redundancy, meaning the response is more varied and avoids unnecessary repetition.

Required Arguments:

• List of Chunks of Context: Sections of the context that contain the key information and topics that should be assessed for redundancy.

• Response Received: The content generated by the model that is being evaluated for topic redundancy.

• Threshold for Similarity Index: A parameter that determines the level of similarity at which two topics are considered redundant.

Score Range: 0 (high redundancy) to 1 (low redundancy)

Interpretation: A lower score suggests that the response has less repetition of topics, which is desirable for varied and engaging content. A higher score would indicate that the response contains redundant information, possibly repeating the same topics multiple times.