Language

How AI is Making Sign Language Recognition More Precise Than Ever

Once we take into consideration breaking down communication barriers, we frequently deal with language translation apps or voice assistants. But for hundreds of thousands who use sign language, these tools haven't quite bridged the...

How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

AI is becoming a more significant a part of our lives on daily basis. But as powerful because it is, many AI systems still work like “black boxes.” They make decisions and predictions, but...

Meta’s COCONUT: The AI Method That Thinks Without Language

Understanding COCONUT's InnovationPicture the difference between speaking your thoughts out loud and the actual mental process happening in your brain. That gap – between verbalized thoughts and neural activity – is precisely what Meta's...

Study: Some language reward models exhibit political bias

Large language models (LLMs) that drive generative artificial intelligence apps, equivalent to...

Speak Secures $78M Series C Funding at $1B Valuation to Transform AI-Powered Language Learning

Speak, a world leader in AI-powered language learning, has raised $78 million in Series C funding, achieving a $1 billion valuation. This funding milestone underscores the corporate’s mission to rework language education by prioritizing...

Enabling AI to clarify its predictions in plain language

Machine-learning models could make mistakes and be difficult to make use of,...

The Real Danger of Language Models: AI-Powered Scams

Imagine this: You’re at work, laser-focused on a decent deadline, once you receive a call from what appears to be your mother’s phone number. The voice on the opposite end is unmistakably hers, calm...

Making News Recommendations Explainable with Large Language Models

A prompt-based experiment to enhance each accuracy and transparent reasoning in content personalization.As a second evaluation metric, we use Spearman correlation. At 0.41, it represents a considerable improvement over our embedding-based approach (0.17). This...

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