Summary
Transformers forced AI to make profound evolutions. Foundation Models, including their Generative AI abilities, are built on top of the digital revolution connecting everything to everything with underlying processes everywhere. Automated processes are replacing human decisions in critical areas, including NLP.
RNNs slowed the progression of automated NLP tasks required in a fast-moving world. Transformers filled the gap. A corporation needs summarization, translation, and a wide range of NLP tools to meet the challenges of the growing volume of incoming information.
Transformers have thus spurred an age of AI industrialization. We first saw how the O(1) time complexity of the attention layers and their computational time complexity, O(n2*d), shook the world of AI.
We saw how the one-token flexibility of transformer models pervaded every domain of our everyday lives!
Platforms such as Hugging Face, Google Cloud, OpenAI, and Microsoft Azure provide NLP tasks...
