8min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Evolving MLOps Platforms for Generative AI and Agents with Abhijit Bose - #714

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Optimizing Data Annotation and Inferencing in AI

This chapter explores the differences in data annotation processes between traditional machine learning and generative AI, emphasizing the complexity of the latter. It highlights the optimization techniques, collaboration between scientists and engineers, and the importance of reducing costs and latency in machine learning inference.

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