Meta Initiates Training for Llama 3 and Reshapes AI Roles

Meta Initiates Training for Llama 3 and Reshapes AI Roles

 Meta CEO Mark Zuckerberg announced on Thursday that the company has initiated the training of Llama 3, the next iteration of its primary generative AI model. Alongside this, he reiterated Meta's commitment to making its AI models open source whenever feasible. Additionally, there's a shake-up in Meta's AI organizational structure as the company aims to advance artificial general intelligence for more human-like capabilities in its future products.

Mark Zuckerberg explained the significance of these moves, stating that they are strategic steps toward developing artificial general intelligence systems. The objective is to imbue Meta's products with increasingly human-like capabilities in the years to come. According to Zuckerberg, this approach is essential for tackling more ambitious challenges, attracting top researchers to contribute to Meta's endeavors.

To communicate these developments, Zuckerberg shared a video on Instagram, outlining his goals and the organizational changes within Meta.

Here are the key points:

• Organizational Shift: Meta's Fundamental AI Research unit is transitioning from the Reality Labs team, led by CTO Andrew Bosworth, to the Family of Apps unit overseen by Chris Cox. The heads of AI research, Yann LeCun and Joelle Pineau, will now report to Chris Cox.

• Reuniting AI Research and Product Work: Meta asserts that this shift will bring together the company's AI research and product efforts, aligning them for progress toward artificial general intelligence.
• AI Investment: As a testament to Meta's commitment to AI, Zuckerberg shared that the company anticipates ending the year with over 340,000 Nvidia H100 GPUs. When factoring in other chips, Meta projects having the equivalent processing power of almost 600,000 H100s.

In summary, Meta is actively investing in the advancement of its AI capabilities, aiming to merge research and product development for future breakthroughs in artificial general intelligence. The open-source approach reflects Meta's strategy to engage top talent in tackling ambitious challenges within the AI landscape.

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