Genpact has unveiled a playbook: FMOps ? The Generative AI Imperative for Production. The playbook, which focuses on Foundation Model Operations (FMOps), provides practical guidelines for building solid and efficient foundations for generative AI solutions.
Developed in collaboration with Nasscom, the playbook delves into the fundamentals of FMOps. It meticulously outlines their operational benefits within AI systems: improved collaboration, faster release cycles, enhanced efficiency, rapid model deployment, seamless scalability, and risk reduction. The playbook also provides detailed discussions on FMOps, Large Language Model Operations (LLMOps) and Machine Learning Operations (MLOps), including: Understanding the distinctions of generative AI from traditional AI; Recognizing the significance and importance of FMOps; The role of LLMOps within FMOps and generative AI; and Key differences between MLOps and LLMOps.
The playbook takes an in-depth look at LLMOps, which serve as the foundation for operational capabilities and infrastructure required to deploy generative AI solutions, and the steps necessary for successful implementation: Identifying the right model, technique, team, and technology stack; Understanding the current LLMOps landscape; Creating a Responsible, Accountable, Consulted, and Informed (RACI) framework for LLMOps implementation; Operationalizing Large Language Models (LLMs) with LLMOps; Selecting appropriate metrics; and Setting up policy management guardrails. The collaborative effort between Genpact and Nasscom builds upon previous work on MLOps best practices, a set of principles that help technology teams develop, deploy, monitor, and scale AI models effectively.