{"id":87566,"date":"2024-10-02T17:07:25","date_gmt":"2024-10-02T15:07:25","guid":{"rendered":"https:\/\/intercoaching.fr\/?p=87566"},"modified":"2024-10-02T18:56:51","modified_gmt":"2024-10-02T16:56:51","slug":"meta-unveils-llama-3-2-its-first-multimodal-artificial-intelligence-but-a-nasty-surprise-awaits-us","status":"publish","type":"post","link":"https:\/\/intercoaching.fr\/en\/meta-unveils-llama-3-2-its-first-multimodal-artificial-intelligence-but-a-nasty-surprise-awaits-us\/","title":{"rendered":"Meta unveils Llama 3.2, its first multimodal artificial intelligence, but a nasty surprise awaits us"},"content":{"rendered":"

The scene is set, and Meta<\/strong> finally ventures into the depths of theMultimodal AI<\/strong> with the launch of LLaMA 3.2<\/strong>. Who would have thought that this long-awaited event would be overshadowed by a disturbing reality? This model, capable of processing text, images, video and audio, seems to have the magic to compete with the industry giants. But beneath this dazzling fa\u00e7ade lies an unpleasant surprise that will shake expectations, suggesting unexpected complications. Don\u2019t let the glamor of technology fool you; the real challenge starts here.<\/p>\n\n\n

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In a context where technological innovation is king, Meta<\/strong> has just revealed its latest nugget: Llama 3.2<\/strong>. This is his very first multimodal artificial intelligence model<\/strong>, capable of processing textual, visual, auditory and even video data. A fascinating twist, but let\u2019s not be fooled by the hype. A much darker reality looms on the horizon.<\/p>\n\n\n

A model with tempting promises<\/h2>\n\n\n

During the event Meta Connect<\/strong>, the Californian company pulled out all the stops by presenting Llama 3.2<\/strong>. With not one, but four models, this version promises a unprecedented capacity<\/strong> understand and generate various types of content. Decades of research concentrated in this tool, which could well become the gorilla of the AI \u200b\u200bmarket. But why so much haste?<\/p>\n\n\n

An ambitious but uncertain deployment<\/h2>\n\n\n

Llama 3.2<\/strong> is available in several versions, starting with two compact models, but also two multimodal models which promise to revolutionize information processing. What is even more talked about is the presence of a open-source<\/strong>, offering the community the opportunity to explore its potential. But behind this attractive varnish lies a detail that could well annoy the average user.<\/p>\n\n\n

Accessibility limits<\/h2>\n\n\n

One of the big questions remains: who will really be able to benefit from these advances? With models based on 11 to 90 billion parameters, one might wonder if Llama 3.2<\/strong> is truly accessible. The display of this cutting-edge technology seems reserved for a technological elite and structures with substantial financial resources, leaving the average consumer on the sidelines.<\/p>\n\n\n

The data question<\/h2>\n\n\n

As the world realizes the importance of data<\/strong>, the revelation of Llama 3.2<\/strong> also raises crucial questions. How will Meta manage the data collected during interactions with this AI? Is transparency required? Between the promise of a multimodal tool bubbling with life and the shadow of potential exploitation of our personal data, the gap seems wide.<\/p>\n\n\n

An uncertain future for Europe<\/h2>\n\n\n

The declaration of Mark Zuckerberg<\/strong> on the inclusion of Llama 3.2 in Europe also raises concerns. Its ambitious plans in terms of AI technology<\/strong> do not evoke a clear expansion for the Old Continent. In a world where data regulation is increasingly strict, Meta\u2019s commitment to the European market seems unclear.<\/p>\n\n\n

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Comparison of LLaMA 3.2 features<\/h2>\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n
Features<\/td>\nDetails<\/td>\n<\/tr>\n
AI type<\/strong><\/td>\nMultimodal (text, images, video, audio)<\/td>\n<\/tr>\n
Models available<\/strong><\/td>\nFour versions with different capacities<\/td>\n<\/tr>\n
Settings<\/strong><\/td>\n11 billion and 90 billion parameters<\/td>\n<\/tr>\n
Compatibility<\/strong><\/td>\nOperation on smartphones<\/td>\n<\/tr>\n
Open-source<\/strong><\/td>\nAccessible to everyone for use and modification<\/td>\n<\/tr>\n
Use of voice<\/strong><\/td>\nBuilt-in voice recognition technology<\/td>\n<\/tr>\n
Supported languages<\/strong><\/td>\nMultilingual (multiple languages \u200b\u200bavailable)<\/td>\n<\/tr>\n
Performance<\/strong><\/td>\nNotable improvements compared to LLaMA 3.1<\/td>\n<\/tr>\n
Regulation<\/strong><\/td>\nRestrictions in Europe on its use<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n
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Meta d\u00e9voile LLaMA 3.2 : de l\u2019IA multimodale, mais pas pour l\u2019Europe https:\/\/t.co\/cWJ9Jefcpr<\/a> #seo<\/a> #abondance<\/a> pic.twitter.com\/2FuDsAG6kL<\/a><\/p>\u2014 Abondance SEO (@abondance_com) September 26, 2024<\/a><\/blockquote>