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LLMs are bad at explaining their own inner workings

Recent research has cast a spotlight on the limitations of large language models (LLMs) in explaining their own internal processes. A study from Anthropic reveals that these artificial intelligence ...
Forbes

LLMs Are Short-Circuiting. Is It Time To Redefine Intelligence?

It’s time to move past large language models and create a new narrative. The hiccups we’ve experienced from large language models and generative AI — a still-novel technology — since its inception a ...
VentureBeat

DeepMind makes big jump toward interpreting LLMs with sparse autoencoders

Large language models (LLMs) have made remarkable progress in recent years. But understanding how they work remains a challenge and scientists at artificial intelligence labs are trying to peer into ...
Semiconductor Engineering

Leveraging LLMs To Explain EDA Synthesis Errors And Help Train New Engineers

A technical paper titled “Explaining EDA synthesis errors with LLMs” was published by researchers at University of New South Wales and University of Calgary. “Training new engineers in digital design ...
Forbes

AI LLMs Astonishingly Bad At Doing Proofs And Disturbingly Using Blarney In Their Answers

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 examine an insightful AI research study ...