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Introduction
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Terminology
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Data Layer
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Model Building
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Model Serving
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Feature Stores
7
Prompt Stores
8
LLM Governance
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LLM Observability
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Experimentation
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Model Evaluation Optimization
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Summary
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the evolving MLOps ecosystem in high-tech organizations, focusing on the e-commerce sector, in this 21-minute conference talk by Sanchit Juneja, Director-Product of Big Data & Machine Learning Platform at Booking.com. Delve into the impact of large language models (LLMs) on operational paradigms and key investment areas for supporting current and future use cases. Gain insights into typical MLOps ecosystems, the introduction of foundational model operations (FMOps), and critical infrastructure enhancements for advanced AI applications. Learn from real-world examples at Booking.com, including LLM-based service implementation and scaling challenges. Discover how cutting-edge MLOps practices are leveraged to maintain a competitive edge in e-commerce, and understand the strategic investments required to maximize the potential of machine learning and AI. Topics covered include terminology, data layer, model building and serving, feature stores, prompt stores, LLM governance and observability, experimentation, and model evaluation optimization. Read more

LLMOps and FMOps for E-commerce - Booking.com Case Study

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