Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...
Frontier AI models corrupt 25% of document content in multi-step workflows — rewriting rather than deleting, which makes the ...
Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...
Small Language Models or SLMs are on their way toward being on your smartphones and other local devices, be aware of what's coming. In today’s column, I take a close look at the rising availability ...
Z.ai (Zhufu AI), a Chinese company, has shaken the global tech industry with its AI model ‘GLM-5.2,’ unveiled on June 13. GLM ...
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 ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
The privacy-focused AI app LiberaGPT has officially launched on Android, bringing powerful, fully offline AI to ...
The advent of large language models (LLMs) has started to reshape many technology development efforts and research roadmaps. Apart from transforming the space of natural language processing, LLMs have ...
Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.
A Father’s Day reflection exploring how concepts from artificial intelligence mirror the timeless responsibilities of ...