Meta Developing New AI System as Powerful as Most Advanced OpenAI Model: Report

Meta Platforms is developing a new artificial intelligence system that is as powerful as the most advanced models offered by OpenAI, the Wall Street Journal reported on Sunday, citing people familiar with the matter.

Facebook’s parent company aims to launch a new artificial intelligence model next year, the Wall Street Journal said, adding that the model would be several times more powerful than its commercial version called Llama 2.

Llama 2 is an open source AI language model launched by Meta in July and distributed by Microsoft’s cloud Azure service, competing with OpenAI’s ChatGPT and Google’s Bard.

The planned system, the details of which are still subject to change, will help other companies build services that produce complex text, analytics and other output, the newspaper reported.

Meta expects to start training a new artificial intelligence system, a large language model, in early 2024, the report added.

Meta did not immediately respond to Reuters’ request for comment.

Since the launch of OpenAI’s ChatGPT at the end of last year, businesses and enterprises have flocked to the emerging generative AI market, seeking newer features and improved business processes.

Bloomberg News reported in July that Apple was developing artificial intelligence products similar to OpenAI’s ChatGPT and Google’s Bard, adding that it had built its own framework, called “Ajax,” to create large language models, And it’s also testing what some engineers call chatbots. “Apple GPT”.

In August, Meta released an artificial intelligence model capable of translating and transcribing speech in dozens of languages, a potential building block for real-time communication tools across language divides.

The company said in a statement blog post Its SeamlessM4T model can support translation between text and speech in nearly 100 languages, as well as full speech-to-speech translation in 35 languages, combining technology previously only available in separate models.

© Thomson Reuters 2023


Affiliate links may be automatically generated – see our Ethics Statement for details.

Svlook

Leave a Reply

Your email address will not be published. Required fields are marked *