Claude Code generates computer code when people type prompts, so those with no coding experience can create their own ...

Abstract: Deep learning-based recommender systems are widely utilised in domains such as e-commerce. Yet there are limited studies that explore recommendation systems for expert and speciality needs ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

Speechify is a solid alternative for folks who want realistic text-to-speech on mobile for everything from web pages to e-books, while ElevenLabs has some of the best natural-sounding voices for voice ...

Whether you want to build a document scanner, digitize receipts, or add text recognition to your mobile app, this project is a perfect starting point. This project is provided for educational and ...

Data without context is fragmented — it cannot be used to effectively train AI agents or set up an appropriate workflow for ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Abstract: In the era of big data, organizations face significant challenges in extracting valuable information from unstructured documents. This paper explores the application of locally hosted large ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...