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Context Window
The maximum amount of text (measured in tokens) that an AI model can process in a single conversation.
TL;DR
- —The maximum amount of text (measured in tokens) that an AI model can process in a single conversation.
- —Understanding Context Window is critical for effective AI for companies.
- —Remova helps companies implement this technology safely.
In Depth
The context window determines how much text an AI model can consider at once — including the system prompt, conversation history, and user input. Larger context windows (e.g., Claude's 200K tokens) allow processing longer documents but increase costs. Managing context efficiently is important for both quality and cost optimization.
Related Terms
Token
The basic unit of text processing in LLMs — typically a word, subword, or character that models use for input and output.
Large Language Model (LLM)
A deep learning model trained on vast text datasets that can understand and generate human-like text.
Inference Cost
The computational cost of running a query through an AI model, typically measured per token.
Retrieval-Augmented Generation (RAG)
A technique that grounds AI responses in retrieved documents to improve accuracy and reduce hallucinations.
Glossary FAQs
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