How to build AI more like software
IBM Research
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.
Why it matters
Introducing IBM Granite Libraries and Project Granite Switch: bringing the rigor and modularity of software engineering to LLMs.
