Yann LeCun’s argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning. LeCun argues that these fundamental limitations will require an entirely ...

Spatial reasoning in Large Language Models (LLMs) serves as a foundation for embodied intelligence. However, even in simple maze environments, LLMs often struggle to plan correct paths due to ...

Five years ago, pioneering large language models (LLMs) like GPT and BERT had hundreds of millions of parameters. Today, Megatron-Turing Natural Language Generation (MT-NLP) has 530 billion parameters ...

LLMs tell you the truth, sometimes. Source: Art: DALL-E/OpenAI Large Language Models (LLMs) have revolutionized how we interact with machines, captivating users with their ability to generate coherent ...

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 explore an intriguing new advancement for ...

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 ...

Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...

Let's go on a journey—a journey of pure speculation So, please give me a little cognitive latitude... Unfolding as some cosmic story, the rapid advancements in artificial intelligence have given rise ...

LLM-driven discovery is reshaping how readers find and evaluate information, yet most teams still don’t know what actually gets cited by ChatGPT. While early theories suggest that structure, freshness ...