This is the Windows app named LLM TLDR whose latest release can be downloaded as llm-tldrsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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LLM TLDR
DESCRIPTION
LLM TLDR is a tool that leverages large language models (LLMs) to generate concise, coherent summaries (TL;DRs) of long documents, articles, or text files, helping users quickly understand large amounts of content without reading every word. It integrates with LLM APIs to handle input texts of varying lengths and complexity, applying techniques like chunking, context management, and multi-pass summarization to preserve accuracy even when the source is very large. The system supports both extractive and abstractive summarization styles so that users can choose whether they want condensed highlights or a more narrative paraphrase of key ideas. To enhance usability, LLM-TLDR includes command-line tools and integration examples for common workflows like batch summarization, webhook ingestion, and automation in documentation pipelines.
Features
- LLM-powered concise document summarization
- Support for extractive and abstractive TL;DR styles
- Chunking and context management for large text inputs
- Command-line interface for batch and automated workflows
- Custom prompt and tone control options
- Preservation of structural elements like code or metadata
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/llm-tldr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
