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Meta opens its ChatGPT AI model to researchers

Meta opens its ChatGPT AI model to researchers

Meta has developed several versions of LLaMA, which require more or less resources. (photo: 123RF)

Meta on Friday unveiled its own version of artificial intelligence (AI) that can generate text, like ChatGPT, and is now opening it up to researchers so they can respond to the risks posed by these new technologies.

The object if this nouveau model of language baptismal LLaMA is «d’aider les chercheurs to progress in leurs travaux» on this sujet, notamment car il ne required pas des infrastructures tres importantes for être study, précise l’entreprise in a text de an offer.

The launch of OpenAI’s ChatGPT chatbot in November has shaken up the world of AI by letting the general public see the ability of new “language paradigms” to generate text in a few seconds on a given topic or to provide an explanation on a complex topic.

But they also pose risks, whether factual, bias or data protection errors.

A beta version of Microsoft’s Bing search engine, developed in partnership with OpenAI, quickly issued inconsistent responses, with the computer program specifically expressing threats or wanting to steal nuclear tokens.

“More research is needed to address the risks of bias, toxic comments, and hallucinations,” says Meta, the parent company of Facebook and Instagram.

But it takes significant resources, especially in terms of computing power, to train and run these language models.

This “limits researchers’ ability to understand how and why these large language models operate, hindering efforts to improve their robustness and mitigate known issues, such as bias, toxicity, and the ability to generate false information,” the company notes.

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This is why Meta has developed several versions of LLaMA, which require more or less resources.

Alors qu’OpenAI and Microsoft limitent l’accès aux technologies faisant fonctionner leur IA, l’entreprise of Mark Zuckerberg a décidé de partager la façon dont il a élaboré LLaMA afin que les chercheurs puissent «plus facilement tester de nouvelles approches pour limiter or éliminer problems.