Genpact has launched an industry-first 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
• Key differences between MLOps and LLMOps
“As Generative AI reshapes enterprises across sectors, we continue to find that clients need clear directions for building ethical and scalable generative AI solutions,” said Sreekanth Menon, Global AI/ML Services Leader, Genpact. “This playbook offers that blueprint, guiding the transition from pilot generative AI projects to production.”
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.
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Genpact has launched an industry-first 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
• Key differences between MLOps and LLMOps
“As Generative AI reshapes enterprises across sectors, we continue to find that clients need clear directions for building ethical and scalable generative AI solutions,” said Sreekanth Menon, Global AI/ML Services Leader, Genpact. “This playbook offers that blueprint, guiding the transition from pilot generative AI projects to production.”
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.
FacebookTwitterLinkedin
end of article