Adobe is adding AI tools to Acrobat, including the ability to generate podcast summaries of files, create presentations, and ...
Abstract: In the field of Natural Language Processing (NLP), the task of text summarization plays a vital role in understanding textual content and producing concise summaries. Text summarization ...
ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...
Introduction and Demo This project focuses on abstractive text summarization using deep learning models. The goal is to generate concise summaries that retain the core content of the original text.
Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...
The Snipping Tool in Windows is a useful built-in tool that lets you capture screenshots, but did you know it can also be used to extract text? With a bit of creativity and the right steps, you can ...
Third Person Shooters "Will this blow up the server?": Arc Raiders players are so good at killing Arc that Embark eyes ways to "escalate" PvE Baldur's Gate Baldur's Gate 3 lead writer says ...
If you’ve ever searched “hack for…”, you know the internet is stuffed with shortcuts, some sketchy, some genius. The real gold, though, comes from people who actually do the job every day. Those are ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
GitHub Copilot Pro now supports GPT-5 in VS Code. A 30-day trial lets you test premium models for free. Add your OpenAI key to bypass Copilot restriction. First, open VS Code. Click the little Copilot ...
Introduction: Text summarization is a longstanding challenge in natural language processing, with recent advancements driven by the adoption of Large Language Models (LLMs) and Small Language Models ...