Summary
The Fourth Industrial Revolution, or Industry 4.0, has forced artificial intelligence to make profound evolutions. The Third Industrial Revolution was digital. Industry 4.0 is built on top of the digital revolution connecting everything to everything, everywhere. Automated processes are replacing human decisions in critical areas, including NLP.
RNNs had limitations that 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 Industry 4.0.
Industry 4.0 (I4.0) has thus spurred an age of artificial intelligence industrialization. The evolution of the concepts of platforms, frameworks, language, and models represents a challenge for an industry 4.0 developer. Foundation models bridge the gap between the Third Industrial Revolution and I4.0 by providing homogenous models that can carry out a wide range of tasks without further training or fine-tuning.
Websites such as AllenNLP, for example, provide educational NLP tasks with no installation, but it also provides resources to implement a transformer model in customized programs. OpenAI provides an API requiring only a few code lines to run one of the powerful GPT-3 engines. Google Trax provides an end-to-end library, and Hugging Face offers various transformer models and implementations. We will be exploring these ecosystems throughout this book.
Industry 4.0 is a radical deviation from former AI with a broader skillset. For example, a project manager can decide to implement transformers by asking a web designer to create an interface for OpenAI’s API through prompt engineering. Or, when required, a project manager can ask an artificial intelligence specialist to download Google Trax or Hugging Face to develop a full-blown project with a customized transformer model.
Industry 4.0 is a game-changer for developers whose role will expand and require more designing than programming. In addition, embedded transformers will provide assisted code development and usage. These new skillsets are a challenge but open new exciting horizons.
In Chapter 2, Getting Started with the Architecture of the Transformer Model, we will get started with the architecture of the original Transformer.
