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Large language overkill: How SLMs can beat their bigger, resource-intensive cousins


Whether a company begins with a proof-of-concept or live deployment, they should start small, test often and build on early successes.

Two years on from the public release of ChatGPT, conversations about AI are inescapable as companies across every industry look to harness large language models(LLMs) to transform their business processes. Rather than relying on vast, heterogeneous datasets, SLMs are trained on targeted information, giving them the contextual intelligence to deliver more consistent, predictable and relevant responses. By investing in SLMs, companies can future-proof their AI strategies, ensuring that their tools not only drive innovation but also meet the demands of trust, reliability and control.

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