ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

The quick way: read depth profiling and inference result visualization The depth_profile_ncm function provides a convenient way to run all three NCM inference methods across a range of rarefied read ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

When Motorola introduced its first mobile phone in 1984, the company hoped for a buying frenzy. But even the best marketers couldn’t have predicted the success of mobile phones. Today, mobile phones ...

As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...