Case Study

Adapting a Large Model on a Budget

A university research lab has a limited budget and access to a single server with two high-end GPUs. They plan to adapt a 70-billion parameter language model for a new task by updating all of the model's parameters for each of their planned experiments. Analyze the primary challenge this lab will face with their proposed approach and explain why this challenge necessitates considering alternative adaptation strategies.

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Updated 2025-10-05

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