David Ryu

축약할 문서를 넣어주세요.

INPUT_0

Split Text

핵심 내용 요약기 10%

Loop / Reduce

Doc Compression 10%

Large text split into N segments of 1,000 words each

이 프롬프트는 사용자가 제공한 원문 텍스트에서 핵심 내용을 추출하여 요약하는 기능을 제공합니다. 사용자는 출력 언어를 지정할 수 있으며, 프롬프트는 지정된 언어로 핵심 내용을 개조식으로 정리합니다. 제목과 소제목은 원문 그대로 유지하며, 전체 원문에서 4~6개의 주요 포인트를 선택하여 독자가 원문을 다시 보지 않아도 이해할 수 있도록 명확하게 정리합니다.

Tool: document_compression_10_percent_split_reduce. Description: Select this workflow when a large document needs to be significantly condensed to approximately 10% of its original length while retaining core information. The pipeline first splits the input text into manageable chunks, then iteratively processes and reduces each chunk, and finally combines these reduced segments into a cohesive, shorter document. The output is a highly compressed text document, distinct from individual summarization steps by its aggressive reduction target and integrated processing for overall coherence.. Use cases: Compress a lengthy report to 10% of its original size for executive summary., Condense a large research paper into a brief overview using a split and reduce method., Generate a highly summarized version of a long article, aiming for 10% content., Reduce a detailed technical specification to its essential points for quick review., Create a 10% summary of a book chapter for rapid information extraction.. Capabilities: document compression, text summarization, content reduction, split text, loop processing, iterative reduction, long document processing, aggressive summarization, cohesive summary generation. Domains: document management, information retrieval, academic research, business intelligence, content creation, executive communication

Extract the primary large document content that needs to be compressed.

Extract any additional contextual information or specific instructions for the compression process.

The compressed document, approximately 10% of the original length.

Select this workflow when a large document needs to be significantly condensed to approximately 10% of its original length while retaining core information. The pipeline first splits the input text into manageable chunks, then iteratively processes and reduces each chunk, and finally combines these reduced segments into a cohesive, shorter document. The output is a highly compressed text document, distinct from individual summarization steps by its aggressive reduction target and integrated processing for overall coherence.

Doc Compression 10%

Description

Workflow

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