All documents

Model Fine-Tuning

    Business Impact 
    Business Impact 
    Updated on 05 Nov 2025

    • Infrastructure Efficiency: By leveraging the FPT AI Factory platform, JAIST completely eliminated the overhead of managing a complex, large-scale GPU infrastructure. This allowed their team of researchers to dedicate their time and expertise to model development and core research challenges rather than MLOps and job orchestration.
    • Accelerated Research & Development: The powerful, scalable infrastructure and streamlined workflow provided by FPT AI Studio enabled JAIST to rapidly iterate through experiments. The ability to systematically test hundreds of data combinations and execute multi-stage pre-training on hundreds of billions of tokens significantly accelerated their path to developing a high-performing Japanese LLM.
    • Enhanced Model Performance and Evaluation: The integrated solution allowed for a seamless transition from large-scale training to fine-tuning and robust evaluation. Access to features like Test Jobs for standardized benchmarking and Interactive Session for custom assessments provided JAIST with the comprehensive tools needed to validate and refine their models effectively.
    • Collaborative Partnership: The close support from FPT AI Factory's AI engineers functioned as an extension of the JAIST team. This collaborative approach ensured that technical challenges were swiftly addressed, and the project maintained its ambitious timeline, fostering an environment of shared learning and innovation.