Large Language Model (LLM)
An AI model trained on vast amounts of text data that can understand, generate, and manipulate human language. LLMs power chatbots, coding assistants, and content generation tools.
LLMs are the foundation of the generative AI revolution. The largest models exceed 1 trillion parameters. Enterprise adoption of LLMs for customer service, content creation, software development, and data analysis is driving the AI market's 36.6% compound annual growth rate. Notable LLM families include OpenAI's GPT, Anthropic's Claude, Google's Gemini, and Meta's Llama. In 2024, 67% of notable models were released with open weights.
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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.
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.
Enterprise AI Adoption
The rate at which businesses integrate AI technologies into their operations, measured across functions like customer service, software development, marketing, and supply chain management.
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.
Frontier Model
The most capable and advanced AI models at any given time, typically trained with the largest compute budgets and achieving state-of-the-art performance on benchmarks.
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