<br>Genpact Launches First-Ever Playbook for Scaling Responsible AI Projects

Genpact, a global professional services firm, introduces an industry-first playbook titled "FMOps – The Generative AI Imperative for Production." This groundbreaking guide centers on Foundation Model Operations (FMOps), offering practical directives to establish robust and efficient frameworks for generative AI solutions. The playbook aligns with Genpact's commitment to delivering transformative outcomes for businesses through strategic and innovative approaches.

“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.”

In partnership with Nasscom, a non-profit industry association and the pinnacle of India's $245 billion technology sector, Genpact introduces a playbook delving into the essentials of FMOps. Developed collaboratively, the guide meticulously details the operational advantages within AI systems. It highlights benefits such as heightened collaboration, expedited release cycles, improved efficiency, swift model deployment, seamless scalability, and risk mitigation. By addressing the fundamental aspects of Foundation Model Operations, this playbook emerges as a strategic tool for navigating the intricacies of generative AI projects, emphasizing collaboration and efficiency for optimal outcomes in the rapidly evolving technology landscape.

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

The playbook extensively examines LLMOps, serving as the cornerstone for operational capabilities and infrastructure essential to deploying generative AI solutions. It outlines the requisite steps for successful implementation, providing a comprehensive guide to navigate the intricacies of LLMOps and ensure the effective deployment of generative AI solutions-

• 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 and Nasscom's joint initiative extends the groundwork of MLOps best practices, a collection of principles aiding technology teams in the effective development, deployment, monitoring, and scaling of AI models. Building upon their prior collaboration, this effort further solidifies a strategic approach to optimizing machine learning operations, emphasizing efficiency and scalability for enhanced outcomes in the technology landscape.