How to build AI more like software

IBM Research · 1 month ago

IBM released Granite Libraries, a set of adapter tools that break down large language models into modular, task-specific components similar to software building blocks, allowing developers to customize AI behavior without retraining entire models. The Granite 4.1 8B model with requirement-check adapters achieved 84% balanced accuracy on the IFEval instruction-following benchmark, compared to 51% for the base model with prompting alone. This modularity enables multiple teams to incrementally add capabilities, reduce inference costs, and make AI systems more predictable and maintainable for enterprise deployment.