NLP
Embeddings
Converting words, images, or data into lists of numbers that capture their meaning, so similar things are mathematically close together.
Definition
Dense numerical vector representations of data (text, images, audio) in a continuous vector space. Similar items have similar embeddings. Used for search, recommendations, and as inputs to ML models.
Why it matters
The fundamental technology behind semantic search, RAG systems, and modern recommendation engines.
Related terms in NLP
BERT
Google's breakthrough AI model that reads sentences in both directions at once to understand context better.
Chain of Thought (CoT)
Asking an AI to "show its work" and think step-by-step, which makes it much better at solving math and logic problems.
Context Window
The maximum amount of text an AI can read and consider at one time, like how many pages of notes it can hold in its head.
Conversational AI
AI that can have natural back-and-forth conversations with humans, chatbots, voice assistants, and customer service bots.
From vocabulary to outcomes
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