Is distributed training the future of AI? As the shock of the DeepSeek release fades, its legacy may be an awareness that alternative approaches to model training are worth exploring, and DeepMind ...

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 ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely explore the rapidly emerging ...

Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...

The impressive intelligence gains in OpenAI’s models over time have mainly come from training them with progressively more training data, for longer amounts of time, and with massive computing power.

Support for AI among public safety professionals rose to 90% in 2024, with agencies rapidly adopting large language models (LLMs) to streamline operations and improve engagement. LLMs are being used ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

Bengaluru's Sarvam AI unveils two advanced language models, 'Vikram,' marking a significant milestone in India's AI development.

ERR posed questions about the Estonian language and culture to five of the most popular large language models and compiled a ranking based on their responses. Grok provided the sharpest answers, while ...