Many languages are supported

Why the gold rush toward LLM agents does not make analytical AI obsolete

MIT researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like “no” and “not.” This could cause them to fail unexpectedly when asked to…

Sydney gears up for landmark speech science conference

A step towards inclusive Artificial Intelligence

From theory to practice

Design is rapidly changing. From the ubiquity of AI (and the era of AI hardware) to the shift in modality (Apple prioritising design elements from visionOS), there is a lot of uncertainty. It’s…

For a long time, “good writing” has been more than skill; it’s been a form of gatekeeping. Not anymore.

Link para o Github: https://github.com/FerrariFFF-1980/Scripts-em-R-para-canal-Q-P
Visite nosso website: https://www.qualidadeprodutividade.com

We discovered why language models catastrophically fail on long conversations: when old tokens are removed to save memory, models produce complete gibberish. We found models dump massive attention onto the first few tokens as "attention sinks"—places to park…

Popular small language models are reshaping the AI landscape by combining efficiency, strong reasoning, factual accuracy, tool use, and broad accessibility.

In this video we talk about a book I read over 10 years ago that has influenced my view on how to best learn languages.

Learn languages with content at your level and interests: https://www.lenguia.com?fpr=till

Twitter: https://twitter.com/tillmusshoff…

How we construct the rankings

When global tech giants began competing to develop large language models, the narrative often focused on English and other widely spoken languages. In India though, a country with 22 official languages and hundreds of regional dialects, AI systems face various…