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MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221

MLOps.community

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Introduction

Exploring the levels of MLOps maturity within businesses, discussing the transition from zero to two and how it relates to business value. Insights shared on approaching MLOps from DevOps, data engineering, and data scientist perspectives, highlighting key traits, skills, and tools like Git for successful implementation of machine learning.

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