Context Window

The Context Window is the maximum amount of text — measured in tokens — that an AI model can process at once. It includes the system prompt, conversation history, retrieved documents, and the latest user message. Early GPT-3 had a 2,048-token window; today GPT-4 Turbo handles 128K, Claude 3 handles 200K, and Gemini 1.5 Pro reaches 1-2 million tokens — enough to fit entire books or codebases in a single call. Larger context windows enable powerful applications: analyzing whole legal contracts, summarizing earnings calls, refactoring large codebases, and reasoning over long meeting transcripts. However, large contexts come with tradeoffs — inference cost grows roughly quadratically, retrieval-augmented generation often outperforms raw long-context for factual lookup, and models can lose track of information in the middle of very long inputs ("lost in the middle"). AI governance teams track context windows because oversized contexts can leak sensitive data, a concern for AI compliance and responsible AI deployment.

Centralpoint Manages Context Across Every Model: Centralpoint by Oxcyon coordinates context across OpenAI, Gemini, Llama, and embedded models, meters every token sent, and keeps prompts and skills inside your environment. Deploy context-aware chatbots across your portals with a single line of JavaScript — and never lose track of what your AI saw.


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