Context Window in AI

Context Window in AI Latest News

In the context of artificial intelligence (AI), specifically large language models (LLMs) like GPT-5 and Claude, the context window is the maximum amount of text the model can consider at any one time while generating a response.

About Context Window in AI

• The context window of an artificial intelligence (AI) model measures how much information the AI model can remember, working similarly to humans’ short-term memory.
• AI models don’t read words; instead, they read chunks of characters called tokens.
• Context Window is the amount of text, in tokens, that the model can consider or “remember” at any one time. 
• A larger context window enables an AI model to process longer inputs and incorporate a greater amount of information into each output.
• A  large language model’s (LLM’s) context window can be thought of as the equivalent of its working memory. 
• It determines how long of a conversation it can carry out without forgetting details from earlier in the exchange. 
• It also determines the maximum size of documents or code samples that it can process at once. 
• When a prompt, conversation, document, or code base exceeds an AI model’s context window, it must be truncated or summarized for the model to proceed. 
• Generally speaking, increasing an LLM’s context window size translates to increased accuracy, fewer hallucinations, more coherent model responses, longer conversations and an improved ability to analyze longer sequences of data.
• However, increasing context length is not without tradeoffs: it often entails increased computational power requirements—and therefore increased costs—and a potential increase in vulnerability to adversarial attacks.

Source: TH

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