Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...

What Is A Transformer-Based Model? Transformer-based models are a powerful type of neural network architecture that has revolutionised the field of natural language processing (NLP) in recent years.

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...

After years of dominance by the form of AI known as the transformer, the hunt is on for new architectures. Transformers aren’t especially efficient at processing and analyzing vast amounts of data, at ...