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Data Science and ML

Genpact Unveils Operating Playbook for Scaling Responsible Generative AI Projects

Genpact announced 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, a leading technology trade organization in India, the playbook delves into the fundamentals of FMOps, highlighting their operational benefits within AI systems: improved collaboration, faster release cycles, enhanced efficiency, rapid model deployment, seamless scalability, and risk reduction.

The playbook 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

The playbook also 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
  • Setting up policy management guardrails

Genpact works to determine why as generative AI reshapes enterprises across sectors, organizations need clear directions for building ethical and scalable generative AI solutions. This new playbook offers that blueprint, guiding the transition from pilot generative AI projects to production.          

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