Zuckerberg’s plan to integrate and expand generative AI research

Meta CEO Mark Zuckerberg said Jan. 18 that the company is “closer” to its business-focused artificial intelligence (AI) research group with the Fundamental AI Research Group (FAIR) and is doubling down on its push to bring the technology in-house. Products.

Appearing in a Thread video, Zuckerberg announced changes to the company's AI efforts, including a major investment in specialized computer chips to build and deliver new generative AI models and products. The company also said it has started training a large language model (LLM) for the next-generation Llama 3:

“It has become clear that the next generation of services will require building a complete and comprehensive knowledge base. Building better AI assistants — AI for inventors, AI for businesses, and more — requires improvements in every area of ​​AI, from reasoning to planning to coding to memory and other cognitive skills.

Zuckerberg explained that Meta will grow its technology infrastructure to accommodate efforts to incorporate generative artificial intelligence into its products. Meta plans to acquire 350,000 H100 graphics processing units (GPUs) from chip designer Nvidia by the end of the year.

Meta is bringing together its two advanced AI research labs, Google Brain and DeepMind, in a similar move to Alphabet in 2023.

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Alphabet was trying to catch up with Microsoft and OpenAI, which marketed Google with ChatGPT, a highly efficient AI chatbot, and made the world's most powerful large language model GPT-4 available to customers.

Over the years, Meta has conducted significant AI research covering unsupervised learning to create AI software that outperforms humans in the strategy game diplomacy. The company has made advances in machine translation and computer vision algorithms.

The Meta GenAI team created Llama 2, a powerful open source language modeler. While not as advanced as OpenAI's GPT-4 or Google's Gemini models, Llama 2 is preferred by developers for building more cost-effective and customizable chatbots compared to using other models.

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