Building large-scale models requires a strategic approach that begins with a manageable context window before expanding to larger sizes. Starting with a smaller context window of 8,000 tokens allows for foundational learning before advancing to an extensive 128,000 tokens. This incremental strategy likely reflects broader lessons learned by leading companies in the field, highlighting the importance of a phased training process.

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