How to Build Effective Large Model Platforms: Challenges, Strategies, and Real‑World Cases
This report examines large model platforms as the engineering foundation for turning base models into business applications, outlines the full lifecycle toolchain, discusses key challenges such as technology selection and secure management, and provides practical case studies and strategic guidance for scalable, value‑driven deployment across industries.
Large model platforms serve as the engineering foundation for deploying large models, converting foundational models into business‑specific applications and establishing a full‑lifecycle toolchain for development, tuning, deployment, and management. However, building and deploying such platforms faces challenges such as technology selection, diverse scenario complexity, and a lack of implementation guidance, while ensuring secure, trustworthy data and model management and providing flexible, convenient construction capabilities are critical to platform usability. This report systematically reviews the evolution of large model platforms and, through numerous practical cases, offers implementation experience and strategic guidance to help enterprises across industries efficiently and value‑driven scale large model adoption.
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