The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.

Not everyone is equally good at picking up social cues in a given environment, a skill colloquially known as reading the room ...

Abstract: Recent improvements in the accuracy of machine learning (ML) models in the language domain have propelled their use in a multitude of products and services, touching millions of lives daily.

Online LLM inference powers many exciting applications such as intelligent chatbots and autonomous agents. Modern LLM inference engines widely rely on request batching to improve inference throughput, ...

The Lede Reporting and commentary on what you need to know today. This way of perceiving social reality—and particularly a person’s reading life—may seem inane, even deranged. But performative reading ...

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Christine Cyr Clisset ...

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Abstract: In this paper, we analyze the impact of data freshness on remote inference systems, where a pre-trained neural network infers a time-varying target (e.g., the locations of vehicles and ...