Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...
The all-conquering rise of AI in the enterprise has seen much use of large language models (LLMs). This week at InfoWorld, we wrote about LiteLLM: an open-source gateway for unified LLM access that ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
Small Language Models (SLM) are trained on focused datasets, making them very efficient at tasks like analyzing customer feedback, generating product descriptions, or handling specialized industry ...
According to analyst Gartner, small language models (SLMs) offer a potentially cost-effective alternative for generative artificial intelligence (GenAI) development and deployment because they are ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...
How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...
If you are a tech fanatic, you may have heard of the Mu Language Model from Microsoft. It is an SLM, or a Small Language Model, that runs on your device locally. Unlike cloud-dependent AIs, MU ...
Last year, Microsoft revealed Copilot+ PCs featuring a dedicated Neural Processing Unit (NPU) capable of over 40 TOPS or more. These Copilot+ PCs came with Phi-Silica, an on-device SLM to bring ...
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