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Marketplace Tech

Why 2025 may be the year of small AI

Jan 7, 2025
Niall Firth, Executive Editor at MIT Technology Review, shares insights on the potential of small language models (SLMs) as transformative technology by 2025. He discusses how SLMs offer efficient and cost-effective solutions, enhancing customer service applications while ensuring speed and privacy. Firth highlights the advantages of SLMs in auditing bias and their suitability for sensitive sectors like healthcare and finance. He also addresses the growing trend toward economical AI, underscoring the need for accessible AI solutions in a rapidly changing business landscape.
11:36

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Quick takeaways

  • Small language models offer an efficient alternative to large models, excelling in specific tasks while reducing costs and resource consumption.
  • A shift is occurring in AI development from scaling large models to creating adaptable, task-specific models that meet companies' practical needs.

Deep dives

The Rise of Small Language Models

Small language models are gaining attention as a feasible alternative to larger ones, as they often perform comparably while being more efficient. These models can be trained for specific tasks, making them ideal for applications like customer service chatbots, where only relevant information is needed. This targeted approach reduces resource consumption, both environmentally and financially, making it easier for businesses to integrate AI solutions without incurring prohibitive costs. Their compact size allows them to run directly on personal devices, enhancing privacy and speeding up response times.

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