Long Documents for Summarization -> LLM Zero-Shot Multi-Label Classification #74
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reversingentropy
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How do I summarize an exceptionally long, book-sized document for summarization?
I want to create a summary and then use the LLM classifier on it. The problem is that the "summary of summaries" approach takes too much time.
When working with a zero-shot multi-label classifier, are individual texts I want to classify treated as separate requests to the LLM API, or are multiple texts combined into one request? Specifically, when using list of lists , would all the text inputs be included in a single prompt, or would they remain separate? How do we manage text limits if they are all aggregated?
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