Natural Language Processing: The Technology That's Biased

Natural Language Processing (NLP) refers to building machines that can understand and respond to voice data with their own text and speech. Natural Language Processing falls under the umbrella of Artificial Intelligence (AI) and recent models like the Bidirectional Encoder Representations from Transformers (BERT), Generative Pre-Trained Transformer 3 (GPT-3) and Pathways AI Language Models (PaLM) have made accurate human-machine communication possible. These Large language Models (LLMs) are trained on massive volumes of text with billions of parameters and are able to understand and answer reading comprehension questions as well as generating new text such as a summary. Put simply, LLMs are trained to predict the next words in a sentence, such as by extending the autocomplete feature in messaging applications. But they can do much more, for example question answering, translation, image captioning, human-level dialogue agents, entity linking, or even data cleaning (for mixes of structured and unstructured data). NLP is already being used to automate some human tasks (RPA – robotic process automation), however the breath-taking advances in the last 3 years, NLP open new potential for businesses to digitize company knowledge and disrupting incumbent business models.