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 ...
GIGAZINE

Bing's Transition to LLM/SLM Models: Optimizing Search with TensorRT-LLM

Transformer is a neural network that learns context and therefore meaning by tracking the relationships between consecutive data, such as the words in a sentence. Transformer has also been used by ...
VentureBeat

Microsoft’s Differential Transformer cancels attention noise in LLMs

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