As technology progresses, we generally expect processing capabilities to scale up. Every year, we get more processor power, faster speeds, greater memory, and lower cost. However, we can also use ...

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 ...

Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

How DeepSeek abandoned attempts to train its R2 AI model on Huawei chips after persistent failures, switching back to Nvidia hardware despite Beijing's push for domestic semiconductors.

Tether Data announced the launch of QVAC Fabric LLM, a new LLM inference runtime and fine-tuning framework that makes it possible to execute, train and personalize large language models on hardware, ...

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI). However, as the user base expands and the frequency of usage increases, deploying these ...