How can you debug when a summarization model outputs incomplete conclusions for legal documents shared via a live API

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Can you tell How can you debug when a summarization model outputs incomplete conclusions for legal documents shared via a live API?
Feb 22 in Generative AI by Ashutosh
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You can use logging, confidence scoring, and rule-based validation to detect and correct incomplete conclusions in real-time summarization.

Here is the code snippet you can refer to:

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

  • Logging Integration: Warnings for incomplete summaries.
  • Live API Call: Fetches legal documents dynamically.
  • Basic Summarization Check: Ensures summary length and punctuation.
  • Auto-Correction Mechanism: Appends a warning if truncation is detected.
Hence, debugging a summarization model for legal documents requires real-time monitoring, validation mechanisms, and corrective logging to ensure output completeness and reliability.
answered Feb 23 by neha

edited Mar 6

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