Intelligent News Summarizer

OpenTLDR is a collection of open-source software that supports research into the automated production of tailored daily reports from raw content, focusing on news feeds.

This research framework works out of the box and is designed for easy replacement of any component so researchers can quickly integrate and evaluate solutions in an end-to-end system.

OpenTLDR main image shows modular components on a common framework.

✓ Out-of-the-box working system

✓ Designed to be easily modified

✓ End-to-End Evaluation Ready

OpenTLDR Overview

Learn more as Chris Argenta, creator of OpenTLDR, talks through the adaptive, modular framework to automate Daily Reports from raw content.

Created in collaboration with the Laboratory of Analytic Sciences, Raleigh, NC.

Tagged:

AI/ML

LLM

Research

Collect

News from RSS Feeds

Create your own repository of content that needs to be triaged daily.

Identify

Relevant Articles for Summarization

Compare new information with a custom knowledge base to prioritize relevant content.

Tailor

Custom Daily Reports

Automate summaries in priority order so you never miss what’s new in your field.

Evaluate

Output using Standard Metrics

Assess your prototype to the baseline and quickly test again as the newest NLP methodology emerges.

OpenTLDR: Create your own customized daily information brief

Get started today!

Documentation

What’s a TLDR?