Meta Unveils More Cautious Approach to ChatGPT Frenzy

A logo of Meta Platforms Inc. is seen at its booth, at the Viva Technology conference dedicated to innovation and startups, at Porte de Versailles exhibition center in Paris, France June 17, 2022. REUTERS/Benoit Tessier
A logo of Meta Platforms Inc. is seen at its booth, at the Viva Technology conference dedicated to innovation and startups, at Porte de Versailles exhibition center in Paris, France June 17, 2022. REUTERS/Benoit Tessier
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Meta Unveils More Cautious Approach to ChatGPT Frenzy

A logo of Meta Platforms Inc. is seen at its booth, at the Viva Technology conference dedicated to innovation and startups, at Porte de Versailles exhibition center in Paris, France June 17, 2022. REUTERS/Benoit Tessier
A logo of Meta Platforms Inc. is seen at its booth, at the Viva Technology conference dedicated to innovation and startups, at Porte de Versailles exhibition center in Paris, France June 17, 2022. REUTERS/Benoit Tessier

Facebook-owner Meta on Friday unveiled its own version of the artificial intelligence behind apps such as ChatGPT, saying it would give access to researchers to find fixes to the technology's potential dangers.

Meta described its own AI, called LLaMA, as a "smaller, more performant" model designed to "help researchers advance their work," in what could be seen as veiled criticism of Microsoft's decision to release the technology widely, while keeping the programming code secret.

Microsoft-backed ChatGPT has taken the world by storm with its ability to generate finely crafted texts such as essays or poems in just seconds using technology known as large language models (or LLM).

LLM is part of a field known as generative AI that also includes the capacity to execute images, designs or programming code almost instantaneously upon a simple request.

Usually the more staid actor in big tech, Microsoft has deepened its partnership with OpenAI, the creator of ChatGPT, and earlier this month announced the technology would be integrated into its Bing search engine as well as the Edge browser.

Google, seeing a sudden threat to the dominance of its search engine, quickly announced it would release its own language AI, known as Bard, shortly, AFP reported.

But reports of disturbing exchanges with Microsoft's Bing chatbot -- including it issuing threats and speaking of desires to steal nuclear code or lure one user from his wife -- went viral, raising alarm bells that the technology was not ready.

Meta said these problems, sometimes called hallucinations, could be better remedied if researchers had improved access to the expensive technology.

Thorough research "remains limited because of the resources that are required to train and run such large models," the company said.

This was hindering efforts "to improve their robustness and mitigate known issues, such as bias, toxicity, and the potential for generating misinformation," Meta said.

OpenAI and Microsoft strictly limit access to the technology behind their chatbots, drawing criticism that they are choosing potential profits over improving the technology more quickly for society.

"By sharing the code for LLaMA, other researchers can more easily test new approaches to limiting or eliminating these problems," Meta said.



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.