VentureBeat

New LLM optimization technique slashes memory costs up to 75%

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
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 ...
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, ...
VentureBeat

Microsoft’s Differential Transformer cancels attention noise in LLMs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Improving the capabilities of large ...
TweakTown

This tiny personal AI supercomputer can run 120B AI models while fitting in your hand

TL;DR: Tiiny AI's Pocket Lab, the world's smallest personal AI supercomputer verified by Guinness World Records, runs 120-billion-parameter LLMs fully on-device without cloud or internet. It offers ...