Forbes contributors publish independent expert analyses and insights. Exploring Cloud, AI, Big Data and all things Digital Transformation. Frontier models in the billions and trillions of parameters ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Zoe Thomas: Welcome to Tech News Briefing. It's Tuesday, July 9th. I'm Zoe Thomas ...

In the AI wars, where tech giants have been racing to build ever-larger language models, a surprising new trend is emerging: small is the new big. As progress in large language models (LLMs) shows ...

Anthropic's release of Fable 5 is fueling the debate over whether frontier AI is an essential tool for security. Experts say ...

Microsoft announced a new version of its small language model, Phi-3, which can look at images and tell you what’s in them. Phi-3-vision is a multimodal model — aka it can read both text and images — ...

Fine-tuning Small Language Models to Better Understand Local Financial Service Contexts, Domain Terminology, and Ambiguous ...

Nvidia Corp. today released a lightweight language model, Mistral-NeMo-Minitron 8B, that can outperform comparably sized neural networks across a range of tasks. The code for the model is available on ...

Large language models work well because they’re so large. The latest models from OpenAI, Meta and DeepSeek use hundreds of billions of “parameters” — the adjustable knobs that determine connections ...

Large language models (LLMs) use vast amounts of data and computing power to create answers to queries that look and sometimes even feel “human”. LLMs can also generate music, images or video, write ...

Advanced AI gave way to Large Language Models, such as Megatron-Turing NLG, capable of executing a huge number of tasks. However, large-scale LLMs come with huge challenges that include high energy ...

Thanks to their task-specific focus and local processing, this AI model makes sense for a variety of CX use cases.