What is a Context Window?
The range of input tokens or text that an AI model considers when generating or retrieving responses.
More about Context Window:
Context Window refers to the maximum number of tokens or text length that an AI model can process at a time. In retrieval systems like retrieval-augmented generation (RAG), the context window determines how much information the model can consider when generating responses.
Managing the context window effectively is critical in tasks like multi-turn dialogue with retrieval and question answering, ensuring that responses are coherent and contextually relevant.
Frequently Asked Questions
How does the size of the context window impact AI models?
A larger context window allows the model to consider more information, improving response quality but increasing computational requirements.
What are common challenges with context windows?
Challenges include managing token limits and ensuring critical information is included within the window for accurate processing.
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