Hackaday

Train A GPT-2 LLM, Using Only Pure C Code

[Andrej Karpathy] recently released llm.c, a project that focuses on LLM training in pure C, once again showing that working with these tools isn’t necessarily reliant on sprawling development ...
Forbes

Squeezing The Juice Of LLM Neural Layers Promotes Greater Honesty And Could Be An AI Hallucination Antidote

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 some exciting research that could ...
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 ...
Digital Journal

Neural networks, machine learning? Nobel-winning AI science explained

The Nobel Prize in Physics was awarded to two scientists for discoveries that laid the groundwork for the artificial intelligence. British-Canadian Geoffrey Hinton, known as a 'godfather of AI', and ...
Hosted on MSN

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
SiliconANGLE

Kneron’s new AI chip brings LLM performance out of the cloud and onto devices

San Diego-based startup Kneron Inc., an artificial intelligence company pioneering neural processing units for the edge, today announced the launch of its next-generation KL1140 chip Founded in 2015, ...
Semiconductor Engineering

Transformers At The Edge: Efficient LLM Deployment

Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid ...