Multi-model use inside generative AI services is already common, with different-sized models dividing work, a Ravlub researcher said. Small models handle routine tasks such as search, information gathering and summarisation, while frontier models take key decisions and generate outputs. As agents spread, repeatedly calling top-performance models can push inference costs higher. He said small models will not replace frontier models, citing scaling, but role-based use of multiple model sizes will expand.

Dinotisia said on Aug. 18 it will join Kolon Benit’s AI alliance and expand tailored AI projects by industry. The company plans to build on its AI deployment experience in accounting and legal services, aerospace and defence, and automotive manufacturing. Kolon Benit’s AI alliance, launched in June 2024, has about 100 AI technology and solution companies participating. Dinotisia said it has technologies needed for enterprise AI deployments.