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Which approach in model design is most important when creating a detailed, comprehensive summary of a long e-book?
①Use a RAG pipeline that splits documents into small chunks and performs retrieval and merging.
②Drastically lower the temperature during inference to obtain reliable output.
③Excessively shorten the input text for summarization and pass it to the model.
④Reduce the number of output tokens instead of increasing the training data.
⑤Use a simple extraction method that extracts only the important parts.