Large language models (LLMs) are poised to revolutionize the complex and resource-intensive process of drug development, according to a groundbreaking study published in Current Molecular Pharmacology ...

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

China has unveiled DeepZang, the world's first large language model for the Tibetan language, in a move that could broaden ...

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...

Retrospective study using anonymized medical records of patients with BC presented during multidisciplinary team meetings (MDTs) between January and April 2024. Three generalist artificial ...

The world's first Tibetan large language model and its application, DeepZang, has been officially unveiled in Lhasa, ...

Llama has evolved beyond a simple language model into a multi-modal AI framework with safety features, code generation, and multi-lingual support. Llama, a family of sort-of open-source large language ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

If you’re interested in using AI to develop embedded systems, you’ve probably had pushback from management. You’ve heard statements like: While these are legitimate concerns, you don’t have to use ...