Meta Platforms is engaged on a brand new artificial-intelligence system supposed to be as highly effective as essentially the most superior mannequin provided by OpenAI, the Wall Road Journal reported on Sunday, citing individuals acquainted with the matter.
The Fb father or mother is aiming for its new AI mannequin to be prepared subsequent 12 months, the Journal mentioned, including will probably be a number of instances extra highly effective than its business model dubbed Llama 2.
Llama 2 is Meta’s open supply AI language mannequin launched in July, and distributed by Microsoft’s cloud Azure companies to compete with OpenAI’s ChatGPT and Google’s Bard.
The deliberate system, particulars of which might nonetheless change, would assist different corporations construct companies that produce refined textual content, evaluation and different output, the newspaper reported.
Meta expects to begin coaching the brand new AI system, often known as a big language mannequin, in early 2024, the report added.
Meta didn’t instantly reply to a Reuters request for remark.
Companies and enterprises have flocked to the nascent generative AI marketplace for newer capabilities and refining enterprise processes because the launch of OpenAI’s ChatGPT late final 12 months.
Bloomberg Information reported in July that Apple is engaged on AI choices just like OpenAI’s ChatGPT and Google’s Bard, including that it has constructed its personal framework, often known as ‘Ajax’, to create giant language fashions and can also be testing a chatbot that some engineers name ‘Apple GPT’.
In August, Meta launched an AI mannequin able to translating and transcribing speech in dozens of languages, a possible building-block for instruments enabling real-time communication throughout language divides.
The corporate mentioned in a weblog submit that its SeamlessM4T mannequin might assist translations between textual content and speech in practically 100 languages, in addition to full speech-to-speech translation for 35 languages, combining expertise that was beforehand obtainable solely in separate fashions.
© Thomson Reuters 2023