Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets. Large-language models (LLMs) have taken the world by ...

Are Large Language Models A Dead End Or Simply Incomplete?

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 ...
Opinion
Morning Overview on MSNOpinion

ChatGPT’s big background task flaw is finally blowing up in public

ChatGPT’s promise has always rested on the idea that it can quietly shoulder complex work in the background while people get on with their day. That illusion is now cracking, as the system’s hidden ...
The Lancet

Large language models and misinformation

The barrage of misinformation in the field of health care is persistent and growing. The advent of artificial intelligence (AI) and large language models (LLMs) in health care has expedited the ...
Forbes

Large Behavior Models Surpass Large Language Models To Create AI That Walks And Talks

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 ...
EurekAlert!

Exploiting large language model with reinforcement learning for generative job recommendations

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 ...
Opinion
The LancetOpinion

Large language models need immunisation to protect against misinformation

The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The ...
Semiconductor Engineering

Small Vs. Large Language Models

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 ...