The No Language Left Behind (NLLB) project, led by Meta, aims to make Facebook and Instagram posts more accessible in 200 lesser-spoken languages worldwide. The project has successfully scaled its original technology, including languages like Scottish Gaelic and Bosnian. However, experts suggest that Meta should consult with native speakers and language specialists to further improve the tool. Meta trains its AI using data from the Opus repository and combines it with mined data from sources like Wikipedia.
The accuracy of translations has improved by 44% since the first model was released in 2020. Despite the progress made, some experts question the accuracy and quality of translations, recommending that Meta collaborate with organizations like the BBC for better language preservation. Linguists and technical specialists agree that refining data sets and working together is crucial. While some believe users should give Meta translations a chance to encourage improvement, others caution against relying on the tools due to potential errors.
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Amazon has recently launched a major update to its Alexa smart home assistant, introducing new AI-driven features aimed at improving home automation and providing users with a more personalized experience.
Caylent Appointed Development Partner to Lead AWS-Native Build for Gaxos Labs Roseland, NJ, Feb
The Associated Press (AP) has formed a strategic partnership with ShortTok to advance its news production capabilities by integrating AI-driven content discovery and video curation technologies.
Adobe’s $1.9 billion acquisition of Semrush marks a major strategic investment to bolster its AI-driven marketing and analytics capabilities.
In today’s increasingly competitive digital marketing landscape, integrating artificial intelligence (AI) into search engine optimization (SEO) strategies has become crucial for businesses seeking to boost their online visibility and surpass competitors.
In a notable advancement in the artificial intelligence and server technology sectors, Counterpoint Research has published a detailed report highlighting the robust growth trajectory of non-GPU server AI chips, particularly those classified under the AI ASIC segment.
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