1) 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 "summary of summaries" approach takes too much time.
2) 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?
1) 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 "summary of summaries" approach takes too much time.
2) 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?