The Economics of Inference

In this talk, we will explore the critical process of Machine Learning (ML) model deployment, its challenges, and the unique considerations when deploying Large Language Models (LLMs). We will talk about the importance of ML deployment in turning theoretical models into practical tools that drive real-world impact, and compare the optimal use cases for hardware, throughput, and latency. Through an economic lens, we’ll discuss the cost-effectiveness and scalability of ML deployment, highlighting how strategic deployment can provide businesses with a significant competitive advantage in today’s data-driven landscape.

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