The context window of a Generative Pre-trained Transformer refers to the number of preceding tokens that the model considers when generating or predicting the next token in a sequence. In simpler terms, it's the span of text or tokens that the model "looks at" to understand the context of the current token being processed.
GPT-3.5 Turbo, an enhanced version of GPT-3.5, typically maintains a context window similar to GPT-3.5. It can handle sequences up to 2048 tokens, allowing it to capture longer-range dependencies in text for more coherent and contextually rich outputs.
GPT-4 supports sequences up to 4096 tokens in length, significantly expanding its span compared to earlier models like GPT-3.5 and GPT-3.5 Turbo. This enables GPT-4 to process even longer texts and dependencies, enhancing its capability for complex natural language processing tasks and generating more nuanced outputs.
GPT-4o, optimized for efficiency and improved performance, typically maintains a context window size similar to GPT-4. It balances computational efficiency with performance, ensuring effective handling of substantial text sequences while optimizing resource usage for various applications.