David Ryu

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INPUT_0

Split Text

핵심 내용 요약 규칙 적용기 5%

Loop / Reduce

Doc Compression 5%

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

이 프롬프트는 사용자가 제공한 원문 텍스트에서 핵심 내용을 추출하여 지정된 언어로 요약하는 기능을 제공합니다. 제목과 소제목은 원문 그대로 유지하며, 최대 세 개의 핵심 포인트를 개조식으로 정리합니다. 이 프롬프트는 독자가 원문을 다시 보지 않아도 될 정도로 명확하게 정보를 전달하는 것을 목표로 합니다.

Tool: document_compression_5_percent_split_reduce. Description: Select this workflow when a large document needs to be significantly condensed to approximately 5% 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 parts into a single, highly compressed output. The final output is a concise text summary, drastically shorter than the original, providing only the most critical information, which differs from individual summarization by ensuring a specific compression ratio across the entire document.. Use cases: Compress a lengthy report to 5% of its original size for quick review., Summarize a large document into a very short, actionable text., Condense a long article to its absolute core message, targeting a 5% length., Generate an ultra-brief summary of a book or research paper., Reduce a detailed document to a 5% overview for executive briefing.. Capabilities: document compression, text summarization, split and reduce, information extraction, content condensation, large document processing, fixed compression ratio. Domains: document analysis, information management, business intelligence, research, education, content creation, executive summary

Extract the primary text content of the document to be compressed.

Extract any additional context or instructions relevant to the compression task.

A highly compressed version of the input document, approximately 5% of its original length.

Select this workflow when a large document needs to be significantly condensed to approximately 5% 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 parts into a single, highly compressed output. The final output is a concise text summary, drastically shorter than the original, providing only the most critical information, which differs from individual summarization by ensuring a specific compression ratio across the entire document.

Doc Compression 5%

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