Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...

This developer of technology for software developers to properly translate artificial intelligence code has fetched $36.5 million in Series A capital from investors to aid in its expansion push across ...

What if creating AI-powered apps was as simple as describing your idea in plain English? With the latest update to Google AI Studio, that’s no longer a futuristic dream, it’s a reality. This new ...

Is the data publicly available? How good is the quality of the data? How difficult is it to access the data? Even if the first two answers are a clear yes, we still can’t celebrate, because the last ...

With a government shutdown that's left people without pay, ceased SNAP benefits, and the rising cost of groceries in general, Americans are having a tough time. One way that some people are coping ...

In this lecture video I am explaining what are solid design principles. I am composing a .NET Core 7 WPF project to demonstrate each one of the principles of the solid design in C-Sharp programming ...

Vibe coding is a software development practice that uses an AI chatbot-like workflow to transform natural language prompts into functional code, allowing you to build apps from scratch without writing ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.