In the dynamic realm of Generative Artificial Intelligence (GenAI), the evolution from traditional-based encoders and decoders to attention-based counterparts has been nothing short of revolutionary…

AI in Plain English

The evolution from traditional-based encoders and decoders to attention-based counterparts has revolutionized the landscape of Generative Artificial Intelligence (GenAI), unlocking new possibilities and enhancing performance. Attention-based models offer advantages such as improved parallel processing, capturing long-range dependencies, enhanced interpretability, and reduced vanishing gradient problem. Transformers, powered by attention mechanisms, have achieved state-of-the-art performance in NLP tasks and opened doors to novel applications.

Revolutionizing GenAI: The Evolution from Traditional to Attention-Based Encoders and Decoders