NLP
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.
Definition
The maximum number of tokens (words/subwords) a language model can process in a single input-output cycle. GPT-4 has a 128K context window; Claude has 200K. Larger windows allow more information per interaction.
Why it matters
Directly limits how much data an agent can reason over, small windows mean agents need RAG or chunking strategies.
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.
Conversational AI
AI that can have natural back-and-forth conversations with humans, chatbots, voice assistants, and customer service bots.
Embeddings
Converting words, images, or data into lists of numbers that capture their meaning, so similar things are mathematically close together.
From vocabulary to outcomes
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