Fundamental, which just closed a $225 million funding round, develops "large tabular models" (LTMs) for structured data like ...
Large language models struggle to solve research-level math questions. It takes a human to measure just how poorly they ...
Large language models turned natural language into a programmable interface, but they still struggle when the world stops ...
New large language models seem to spring up daily, and OpenAI's (OPENAI) latest, GPT-5.3-Codex, was the startup's first model ...
With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...
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 ...
The increasing adoption and recognition of LLMs within the academic community. As a significant breakthrough in the field of ...
Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...