Llama
Meta's family of open-source large language models, which have become the most widely used open-weight foundation models and a cornerstone of the open-source AI ecosystem.
Meta released Llama 2 in July 2023 and Llama 3 in April 2024, making them freely available for research and commercial use. Llama 3 70B approaches GPT-4-level performance on many benchmarks. The Llama models have been downloaded millions of times and fine-tuned into thousands of derivative models. Meta invested an estimated $30+ million in compute per Llama training run. By open-sourcing its most capable models, Meta has created an ecosystem that commoditizes the LLM layer while strengthening its position in the AI infrastructure stack.
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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.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
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.
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