Microsoft Launches Lightweight AI Model

A Microsoft sign is pictured at a trade fair in Hannover Messe, in Hanover, Germany, April 22, 2024. (Reuters)
A Microsoft sign is pictured at a trade fair in Hannover Messe, in Hanover, Germany, April 22, 2024. (Reuters)
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Microsoft Launches Lightweight AI Model

A Microsoft sign is pictured at a trade fair in Hannover Messe, in Hanover, Germany, April 22, 2024. (Reuters)
A Microsoft sign is pictured at a trade fair in Hannover Messe, in Hanover, Germany, April 22, 2024. (Reuters)

Microsoft on Tuesday launched a lightweight artificial intelligence model, as it looks to attract a wider client base with cost-effective options.

The new version called Phi-3-mini is the first of the three small language models (SLM) to be released by the company, as it stakes its future on a technology that is expected to have a wide-ranging impact on the world and the way people work.

"Phi-3 is not slightly cheaper, it's dramatically cheaper, we're talking about a 10x cost difference compared to the other models out there with similar capabilities," said Sébastien Bubeck, Microsoft's vice president of GenAI research.

SLMs are designed to perform simpler tasks, making it easier for use by companies with limited resources, the company said.

Phi-3-mini will be available immediately on Microsoft cloud service platform Azure's AI model catalog, machine learning model platform Hugging Face, and Ollama, a framework for running models on a local machine, the company said.

Last week, Microsoft invested $1.5 billion in UAE-based AI firm G42. It has also previously partnered with French startup Mistral AI to make their models available through its Azure cloud computing platform.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.