De-Coded: Understanding Context Windows for Transformer Models

Everything you need to know about how context windows affect Transformer training and usage

The context window is the maximum sequence length that a transformer can process at a time. With the rise of proprietary LLMs that limit the number of tokens and therefore the prompt size — as well as the growing interest in techniques such as Retrieval Augmented Generation (RAG)— understanding the key ideas around context windows and their implications is becoming increasingly important, as this …

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