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When it comes to generativeAImodels, bigger isnt always better.

Whats more important is using a tool thats purpose-built for the task youre trying to accomplish.

Abstract technology background with binary code and 3d face symbolizing AI

VP Field Engineering for EMEA at Databricks.

Smaller, customized language models can mitigate many of these concerns.

But GPUs have become scarce - and with demand outstripping supply, theyre expensive to obtain.

This approach also allows for gains in research and development.

Close collaboration across the industry is vital in facilitating the growth of generative AI globally.

The more we collectively understand about the technology, the more we can use it productively.

Investing in an efficient generative AI strategy will future-proof organizations, helping streamline processes for years to come.

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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.

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