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

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Exploring MLOps Challenges and Evolution

The chapter delves into the challenges of learning cross-country skiing in Boston and transitions into the world of MLOps and AI initiatives, emphasizing connecting business objectives with technical requirements. Speakers with backgrounds in data engineering and machine learning discuss the evolution of MLOps, highlighting the increasing adoption in organizations, the importance of automation in the ML lifecycle, and the differences in deploying Large Language Models.

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