In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

The government’s selection of a “national representative AI” stems from concerns that global frontier generative AI models ...

Enterprises have spent the last 15 years moving information technology workloads from their data centers to the cloud. Could generative artificial intelligence be the catalyst that brings some of them ...

DeepSeek’s research doesn’t claim to solve hardware shortages or energy challenges overnight. Instead, it represents a quieter but important improvement: making better use of the resources already ...

Ai2 releases Bolmo, a new byte-level language model the company hopes would encourage more enterprises to use byte level ...

Making machines respond in ways similar to humans has been a relentless goal of AI researchers. To enable machines to perceive and think, researchers propose a series of related tasks, such as face ...

As tech companies race to deliver on-device AI, we are seeing a growing body of research and techniques for creating small language models (SLMs) that can run on resource-constrained devices. The ...

It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the boundaries. Reading time 4 minutes It is becoming increasingly clear that AI ...

It has been becoming increasingly clear – anecdotally at least – just how expensive it is to train large language models and recommender systems, which are arguably the two most important workloads ...