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llm-based-summarization

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chigwell / simulacra-summarizer

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A new package would provide a structured, reliable way to analyze and summarize user-provided text on topics like the simulation hypothesis, using an LLM to generate concise, pattern-validated outputs

automation content-curation retry-mechanism regex-validation high-quality-output educational-tools simulation-hypothesis llm-based-summarization structured-summarization reliable-summarization raw-text-input formatted-summary research-assistance pattern-validation consistent-format
  • Updated Dec 21, 2025
  • Python

chigwell / concept-extractor

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A new package is designed to process complex conceptual prompts like "Dark Enlightenment" by leveraging language models with structured pattern matching. Users provide a descriptive text input related

theme-extraction llm-based-summarization concise-summary-generation structured-pattern-matching key-element-extraction conceptual-prompt-processing text-only-input-handling highly-reliable-output repeatable-summarization philosophical-analysis educational-insight analytical-contexts no-multimedia-processing structured-response-format pattern-matched-tokenization semantic-theme-categorization contextual-viewpoint-extraction
  • Updated Dec 21, 2025
  • Python

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