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Advancing Natural Language Understanding: The Transformative Power of Large Language Models

In the rapidly evolving world of artificial intelligence, few advancements have had as profound an impact as Large Language Models (LLMs). Rajnish Jain, a disti

What is BERT, and why should we care?

BERT stands for Bidirectional Encoder Representations from Transformers. It is a type of deep learning model developed by Google in 2018, primarily used in natural language processing tasks such as text generation, question-answering, and language translation.

AI Translates Retail Jargon Into Shopper-Friendly Content

In an age where AI has transformed nearly every industry, retailers need to harness its potential to bridge the gap between merchant speak or industry jargon and consumer dialect.

Mind your language: The battle for linguistic diversity in AI

For two years, one international organization under the umbrella of the UN has been leading a relentless campaign in the corridors of global digital diplomacy. Its mission? To bring linguistic diversity to English-dominated artificial intelligence.

With Its Indic Language Arsenal, Can TWO AI Become The GPT Of The East?

Headquartered in the US with subsidiaries in India and South Korea, TWO AI locks horns with top foundational model builders of the world

AI-Powered Earbuds: Real-Time Language Translation at its Best

While global connectivity has significantly improved, language barriers remain a major challenge. Visitors, whether business executives or students, often seek

Language Industry Intelligence for

Crowdin's agile localization podcast brings a fresh take on language technology, automation, and operations from top industry experts. The Slator Pro Guide: AI in Interpreting is a vital, concise guide to applying AI in interpreting, featuring 10 ...

Unraveling The Curious Mystery Of Two Different AI Models Suddenly Forming A New Language Of Their Very Own

Buzz on social media is that two AIs devised their own language. Shocking? End of times? Or might be something more straightforward. Here's the inside scoop.