Zuckerberg's latest initiative aligns the generative AI efforts with the research team to roll out advanced AI features across Meta's product suite.

Mark Zuckerberg has shared plans aimed at consolidating the AI research division with a commercially oriented generative AI team, marking an impactful move for Meta's AI strategy. generative AI Through this initiative, the company aims to significantly boost its resources, targeting the acquisition of roughly 350,000 H100 GPUs from Nvidia as they ramp up their computing power. Zuckerberg has been sharing updates on social platforms like Instagram and Threads, indicating that Meta is on track to accumulate around 600,000 GPUs, positioning it as a strong contender among industry giants.

While it’s clear that Meta is partnering with Nvidia for GPU supplies, the company's choice of other potential GPU manufacturers remains a mystery, sparking curiosity among industry watchers. Reports also suggest that Meta is developing its own GPU-like processor, as indicated by various media outlets. Meta This initiative arrives at a time when Meta is doubling down on generative AI. The company has assembled a dedicated 'Generative AI' team to spearhead this movement, inspired by the success of ChatGPT launched in late 2022. Meta has already rolled out its commercial version of the Llama large language model, along with advertising tools that can create visual backdrops based on text input. Moreover, the company has launched a 'Meta AI' chatbot that users can access through their Ray-Ban smart glasses.

In his recent posts on Thursday, Zuckerberg revealed that Meta is currently working on training a third version of the Llama model to elevate its AI capabilities. He emphasized that these investments in AI are fundamentally linked to Meta's long-term vision encompassing augmented and virtual reality (AR/VR). The CEO pointed out that integrating AI is essential for enhancing the metaverse experience, and highlighted the need for new devices, such as smart glasses, to fully utilize these AI applications.

Yesterday, during a panel session at the ongoing event, Nicola Mendelsohn, head of Meta’s global business group, reaffirmed this commitment. She acknowledged the hurdles but stressed Meta's determination to pursue its expansive vision for the metaverse, estimating it could take about a decade to achieve their comprehensive goals. As Meta enhances its technological capabilities, the implications of these advancements on user experiences and the overall tech ecosystem are crucial. OpenAI Please remember that the information on this page is not meant to be, and should not be regarded as, legal, tax, investment, financial, or any other type of advice. It’s crucial to invest only what you can afford to lose and to seek independent financial counsel if you have any uncertainties. For further details, we recommend reviewing the terms and conditions, along with the help and support resources made available by the issuer or advertiser. MetaversePost is dedicated to providing accurate and unbiased reporting; however, market dynamics can shift without prior warning.

Meta’s March Towards Metaverse

Kumar is a seasoned Tech Journalist specializing in the fast-paced intersections of AI/ML, marketing technology, and new domains like cryptocurrency, blockchain, and NFTs. With over three years of experience in the field, he has built a reputation for crafting compelling stories, conducting in-depth interviews, and delivering thoughtful insights. His expertise shines through in creating impactful content, including articles and reports for leading industry platforms. With a unique blend of technical knowledge and storytelling prowess, Kumar excels at conveying complex technological ideas in an approachable and engaging way. metaverse Cryptocurrencylistings.com Launches CandyDrop to Streamline Crypto Acquisition and Boost User Engagement with Quality Projects

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