Meta AI
Meta Platforms' AI research and product division, responsible for the open-source Llama model family and AI features integrated across Facebook, Instagram, and WhatsApp.
Meta plans $125 billion in AI-related capex for 2026 and operates one of the largest AI research teams globally. The Llama model family is the most downloaded open-source LLM. Meta AI, the company's AI assistant, is integrated across products reaching over 3 billion users. The company has deployed over 600,000 NVIDIA GPUs and ordered 350,000 H100s. Meta's open-source AI strategy aims to commoditize the model layer to drive adoption of its platforms and advertising business, while spending heavily on AI infrastructure.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
Capex (Capital Expenditure)
Long-term investment spending by companies on physical assets like data centers, GPU clusters, and networking infrastructure — the backbone of AI deployment at scale.
ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
Data Center
A facility housing computer systems and infrastructure used to process, store, and distribute data — increasingly built specifically for AI training and inference workloads.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
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