Computerworld December 31, 2024
Small language models capable of addressing specific tasks without burning through processing power are likely to surge in popularity.
In 2024, the surge in generative AI (genAI) pilot projects sparked concerns over high experimentation costs and uncertain benefits. That prompted companies to then shift their focus to delivering business outcomes, enhancing data quality, and developing talent.
In 2025, enterprises are expected to prioritize strategy, add business-IT partnerships to assist with genAI projects and move from large language model (LLM) pilots to production instances. And small language models will also likely come into their own, addressing specific tasks without overburdening data center processing and power.
Organizations will also adopt new technologies and architectures to better govern data and AI, with a...
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