Una ventana de contexto es la cantidad de texto, tokens u otra información de entrada que un modelo puede considerar a la vez. Una ventana de contexto más amplia puede admitir documentos y conversaciones más largos, pero no garantiza una recuperación o razonamiento perfectos sobre toda la información incluida.
The number of tokens a model can process in a given prompt. The larger the context window, the more information the model can use to provide coherent and consistent responses to the prompt.
The number of tokens that a foundational model can process in a given prompt. A larger context window lets the model access and process more information, which leads to more coherent, relevant, and comprehensive responses.
A side-by-side comparison of Context Window and Token. Understand how the terms differ, when each applies, and what the distinction means for AI governance, system design, or assurance evidence.
A side-by-side comparison of Prompt and Context Window. Understand how the terms differ, when each applies, and what the distinction means for AI governance, system design, or assurance evidence.
A side-by-side comparison of Content Chunking and Context Window. Understand how preparing source material into sections differs from the amount of information a model can consider at once.