Mark Zuckerberg - Top AI Leaders & Innovators | Profiles, Milestones & Projects - xix.ai
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Mark Zuckerberg
Mark Zuckerberg

Mark Zuckerberg

CEO, Meta
Year of Birth  1984
Nationality  American

Important milestone

2004 Facebook Founding

Founded Facebook, precursor to Meta

2013 Meta AI Lab Creation

Established Meta AI research division

2023 LLaMA Release

Launched LLaMA for research purposes

AI product

Llama3.1 are multilingual and have a significantly longer context length of 128K, state-of-the-art tool use, and overall stronger reasoning capabilities.

The Llama 3.2 3B models support context length of 128K tokens and are state-of-the-art in their class for on-device use cases like summarization, instruction following, and rewriting tasks running locally at the edge.

Llama3 is Meta's latest open-source large language model, trained on a 15T corpus, supports an 8K context length, and has been optimized for effectiveness and safety.

Llama 3.1 405B is the first openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use, and multilingual translation.

Llama3.1 are multilingual and have a significantly longer context length of 128K, state-of-the-art tool use, and overall stronger reasoning capabilities.

The Llama 4 models are auto-regressive language models that use a mixture-of-experts (MoE) architecture and incorporate early fusion for native multimodality

Llama3 is Meta's latest open-source large language model, trained on a 15T corpus, supports an 8K context length, and has been optimized for effectiveness and safety.

Llama 3.1 405B is the first openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use, and multilingual translation.

Llama3.1 are multilingual and have a significantly longer context length of 128K, state-of-the-art tool use, and overall stronger reasoning capabilities.

The Llama 4 models are auto-regressive language models that use a mixture-of-experts (MoE) architecture and incorporate early fusion for native multimodality

The Llama 3.2 3B models support context length of 128K tokens and are state-of-the-art in their class for on-device use cases like summarization, instruction following, and rewriting tasks running locally at the edge.

Llama3.1 are multilingual and have a significantly longer context length of 128K, state-of-the-art tool use, and overall stronger reasoning capabilities.

Personal Profile

Drives AI integration in Meta's platforms, including social media and VR

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