Embedding
A learned numerical representation that maps words, sentences, images, or other data into a continuous vector space where similar items are positioned close together.
Embeddings are foundational to modern AI systems. Word2Vec (2013) and GloVe pioneered word embeddings, while BERT and GPT produce contextual embeddings where the same word gets different representations based on context. OpenAI's text-embedding-ada-002 produces 1,536-dimensional vectors used by thousands of applications. Embeddings power semantic search, recommendation systems, and RAG pipelines. The embedding market is growing as enterprises build vector databases to store and query billions of embeddings for AI applications.
Explore the Data
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.
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.
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.
AI Economy Pulse
Every Friday: the 3 AI data points that actually matter this week. Free, forever.
Latest: “AI Investment Hits $42B in Q1 2026 — Here's Where It Went”
No spam, ever. Unsubscribe anytime.