What are Transformer Models?

Transformer models in Generative AI are advanced neural network architectures designed to process and generate sequences of data, particularly in natural language processing. This concept was originally introduced in the 2017 paper titled "Attention is All You Need," authored by Ashish Vaswani, a key member of Google Brain.

These models utilize self-attention mechanisms to capture relationships between different elements in a sequence, enabling them to understand context more effectively. Their ability to generate coherent and contextually relevant outputs makes them a game-changer in various applications.

Here are some of the benefits it offers to businesses in today’s dynamic landscape:

• Enhanced efficiency in text generation and summarization.
• Improved accuracy in translation and language understanding.
• Streamlined content creation and customer engagement.
• Increased automation of repetitive tasks.