New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
Geeky Gadgets

Deploy DeepSeek and Large AI Models Locally on Your Phone for Amazing AI Apps

The ability to run large language models (LLMs), such as Deepseek, directly on mobile devices is reshaping the AI landscape. By allowing local inference, you can minimize reliance on cloud ...
VentureBeat

Together AI's ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...
NextBigFuture

Cogito v2 – Inference-time search and New AI Self-improvement

The largest Cogito v2 671B MoE model is amongst the strongest open models in the world. It matches/exceeds the performance of the latest DeepSeek v3 and DeepSeek R1 models both, and approaches closed ...
techtimes

Pushkar Gupta on the Pragmatic Path: Scaling AI and Deep Learning in the Enterprise

The drive for artificial intelligence adoption echoes through boardrooms and development teams across virtually every industry. Fueled by the promise of transformative operational efficiencies and new ...