Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

With only 14 billion parameters, rStar2-Agent is considered "compact" compared to models that often boast hundreds of ...

This AI Agent inference model has only 14 billion parameters, yet it surpassed the 671 billion parameter DeepSeek-R1 (79.8%) with an accuracy rate of 80.6% in the AIME24 mathematical reasoning test.

Microsoft, MS, which unveiled an artificial intelligence (AI) paper late last month, has drawn attention in the industry. The ...

Large Artificial Intelligence (AI) training workloads spanning several tens of thousands of GPUs present unique power management challenges. These arise due to the high variability in power ...