jun 12, 2017 - Transformer Architecture introduced with research paper “Attention is All You Need”

Description:

The paper "Attention is All You Need" by Ashish Vaswani et al. is a milestone event in the history of AI, especially in the field of natural language processing (NLP). It introduces the Transformer architecture, which is a neural network architecture that uses attention to learn long-range dependencies between input and output sequences. This architecture is effective for a wide variety of NLP tasks, including machine translation, text summarization, and question answering.

Before the Transformer, the dominant NLP models were based on recurrent neural networks (RNNs) or convolutional neural networks (CNNs). However, these models had difficulty learning long-range dependencies, which is a critical problem for many NLP tasks. The Transformer architecture solves this problem by using attention, which allows the model to attend to different parts of the input sequence at different times. This allows the model to learn long-range dependencies and achieve state-of-the-art results on a variety of NLP tasks.

The Transformer architecture will go on to have a major impact on the field of NLP. It will be used to achieve state-of-the-art results on a wide variety of tasks. The Transformer is a powerful tool that has the potential to revolutionize the way we interact with computers.

Added to timeline:

Date:

Images:

YouTube: