Making LLMs Smart With Transformers: It’s A Really Big Deal

Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...
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 ...
Quanta Magazine

To Make Language Models Work Better, Researchers Sidestep Language

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...
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 ...
InfoQ

Meta Open-Sources Byte Latent Transformer LLM with Improved Scalability

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...