ARIE is the IDEA Institute’s cutting-edge, equity-focused chatbot, developed to support learning, discovery, and academic ...

Background: Understanding why patients develop adverse events to anti-cancer therapies and predicting the occurrence of these toxicities has lagged behind tumor response biomarker development. This ...

WASHINGTON – The newly launched Army Enterprise Large Language Model Workspace is a generative AI platform that showcases how the Army is harnessing cutting-edge artificial intelligence to ...

In the lead-up to China's Labor Day Golden Week, the country's AI sector is experiencing a flurry of large language model (LLM) upgrades. Baidu and Alibaba have rolled out new flagship models ...

A new technical paper titled “Hardware-based Heterogeneous Memory Management for Large Language Model Inference” was published by researchers at KAIST and Stanford University. Abstract “A large ...

The BitNet b1.58 model can run using just 0.4GB of memory, compared to anywhere from 2 to 5GB for other open-weight models of roughly the same parameter size.

Microsoft’s model BitNet b1.58 2B4T is available on Hugging Face but doesn’t run on GPU and requires a proprietary framework.

Here is an LLM Hardware Calculator. If you enter the size of the LLM model you want to run locally, then the calculator will provide the GPUs, memory and other primary specifications needed to run the ...

Size Doesn’t Matter In reality, we shouldn’t be putting so much focus on the language model size and trying to define the next stage of artificial intelligence development by any significant ...

AI prediction breakthrough: BrainBench LLM model surpasses neuroscientists by 23% in study outcome predictions, revolutionizing research efficiency.

A pruned model can be re-trained to recover any lost accuracy. Model pruning can be done iteratively, until the required model performance, size and speed are achieved.