AI at Meta
Meta's AI research initiative
Meta's AI research initiative developing projects in natural language processing, generative AI, vision and human-computer interaction. Creators of the open-source Llama model.
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AI categories of AI at Meta
Large Language Model (LLM) Building
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AI at Meta constitutes Meta's artificial intelligence research and development initiative operating in areas such as AI infrastructure, natural language processing, generative AI, vision, human-computer interaction and other AI fields. The organization develops fundamental and applied research projects, including the open-source Llama model.
The initiative focuses on advancing artificial intelligence through open science and collaboration with the AI community. AI at Meta actively engages with academic and AI research communities to address global challenges through safe and responsible solutions.
AI at Meta implements responsible development principles including privacy and security, fairness and inclusion, robustness and safety, transparency and control, and accountability and governance. These principles guide the design and operation of AI systems.
The organization collaborates with subject matter experts, policymakers and people with lived experiences to promote responsible development of AI systems. The goal is to provide equitable access to information, services and opportunities.
The initiative publishes and shares AI advances with the community to facilitate joint learning and development. It participates in virtual, in-person and hybrid industrial and academic events where engineers and researchers present product developments, research advances and publications.
AI at Meta operates under four key principles: openness to publish and share advances, collaboration with internal and external partners, excellence focused on positive impact on people and society, and scale to consider large-scale data and computational needs.
The initiative focuses on advancing artificial intelligence through open science and collaboration with the AI community. AI at Meta actively engages with academic and AI research communities to address global challenges through safe and responsible solutions.
AI at Meta implements responsible development principles including privacy and security, fairness and inclusion, robustness and safety, transparency and control, and accountability and governance. These principles guide the design and operation of AI systems.
The organization collaborates with subject matter experts, policymakers and people with lived experiences to promote responsible development of AI systems. The goal is to provide equitable access to information, services and opportunities.
The initiative publishes and shares AI advances with the community to facilitate joint learning and development. It participates in virtual, in-person and hybrid industrial and academic events where engineers and researchers present product developments, research advances and publications.
AI at Meta operates under four key principles: openness to publish and share advances, collaboration with internal and external partners, excellence focused on positive impact on people and society, and scale to consider large-scale data and computational needs.
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