unite1d
Transformers and Beyond: Rethinking AI Architectures for Specialized Tasks
In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...
Semiconductor Engineering2d
Transistor Sizing Approach for OTA Circuits Using a Transformer Architecture
A  new technical paper titled “Accelerating OTA Circuit Design: Transistor Sizing Based on a Transformer Model and ...
IEEE20d
On the Dependability of Bidirectional Encoder Representations from Transformers (BERT) to Soft Errors
Abstract: Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained ...
Forbes21d
Google’s Titans Give AI Human-Like Memory
Seven years and seven months ago, Google changed the world with the Transformer architecture, which lies at the heart of generative AI applications like OpenAI’s ChatGPT. Now Google has unveiled ...
decrypt23d
Beyond Transformers: New AI Architectures Could Revolutionize Large Language Models
For context, transformer architecture, the technology which gave ChatGPT the 'T' in its name, is designed for sequence-to-sequence tasks such as language modeling, translation, and image processing.
VentureBeat24d
Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
The classic transformer architecture used in LLMs employs the self-attention mechanism to compute the relations between tokens. This is an effective technique that can learn complex and granular ...