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What is Meta? The tech company behind LLaMA, open-weight AI models, and the Metaverse vision.

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Meta — AI Glossary

Meta (formerly Facebook) is the technology company behind the LLaMA family of large language models and one of the most influential players in open-weight AI research. Headquartered in Menlo Park, California, Meta operates Facebook, Instagram, WhatsApp, and Reality Labs — but its AI division, Meta AI (formerly FAIR), has become a major force shaping how the industry builds and distributes foundation models.

Why Meta Matters

Meta's decision to release LLaMA models under permissive licenses fundamentally changed the AI landscape. Before LLaMA, frontier-class models were locked behind API paywalls from OpenAI and Google. Meta's open-weight approach gave researchers, startups, and enterprises direct access to powerful base models they could fine-tune for specific use cases — no API dependency required.

This strategy created an entire ecosystem. Models like Mistral, Vicuna, and CodeLlama all trace their lineage to Meta's releases. The competitive pressure also pushed other labs to open up: Google released Gemma, and Alibaba released Qwen. Our coverage of distillation and open-weight dynamics explores how this open-weight ecosystem interacts with proprietary model development.

How Meta Works in AI

Meta AI operates as both a research lab and a product team. On the research side, FAIR publishes papers on self-supervised learning, multimodal models, and AI safety. On the product side, Meta integrates AI across its apps — from content recommendation on Instagram to the Meta AI assistant built into WhatsApp and Messenger.

Key contributions:

  • LLaMA series: Open-weight LLMs from 7B to 405B parameters, competitive with GPT models on major benchmarks
  • Segment Anything (SAM): Foundation model for image segmentation, widely adopted in computer vision
  • PyTorch: The deep learning framework Meta developed that became the industry standard for AI research

Meta trains its models on custom-built GPU clusters, reportedly one of the largest AI compute infrastructures outside of Google and Microsoft.

  • Fine-Tuning: The technique used to adapt Meta's open-weight LLaMA models for domain-specific tasks
  • GPT: OpenAI's competing model family, which Meta's LLaMA benchmarks are frequently compared against
  • ChatGPT: OpenAI's consumer chatbot, the primary competitor to Meta AI's assistant products

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