Genpact has introduced a groundbreaking playbook called FMOps – The Generative AI Imperative for Production, which offers practical guidance for scaling generative AI projects. In collaboration with Nasscom, the playbook emphasizes the significance of Foundation Model Operations (FMOps) in ensuring the solid and efficient foundations for generative AI solutions.
The comprehensive playbook sheds light on the operational benefits of FMOps in AI systems, including improved collaboration, faster release cycles, enhanced efficiency, rapid model deployment, seamless scalability, and risk reduction. It also delves into the nuances of FMOps, Large Language Model Operations (LLMOps), and Machine Learning Operations (MLOps). Key topics discussed in the playbook include understanding the distinctions between generative AI and traditional AI, recognizing the importance of FMOps, the role of LLMOps within FMOps and generative AI, and the key differences between MLOps and LLMOps.
Sreekanth Menon, the Global AI/ML Services Leader at Genpact, highlighted the relevance of the playbook in the rapidly evolving landscape of generative AI. According to Menon, clients are in need of clear directions to build ethical and scalable generative AI solutions, and the playbook serves as a blueprint for transitioning from pilot projects to production.
This collaboration between Genpact and Nasscom builds upon their previous work on MLOps best practices, which focus on helping technology teams develop, deploy, monitor, and scale AI models effectively.
Genpact’s playbook aims to address the growing demand for guidance in developing mature generative AI systems across various sectors. By offering practical insights and guidelines, it enables enterprises to navigate the complexities of generative AI and deploy scalable and ethical solutions.
As generative AI continues to reshape industries, the release of this playbook marks a crucial step towards supporting businesses in harnessing the full potential of AI technology.
