Evaluating the effectiveness of LaMDA in improving NLP models for HR recruitment

Abstract

Generative AI is a machine learning model that is contemporary to Discriminative AI. It creates new content, images, audio, and video based on the observations and patterns it has learned when fed with large volumes of existing data. It utilises deep learning algorithms to be trained using enormous volumes of data. It can have conversations like humans write poems, articles, and stories. It takes input as a prompt or description of what a user wants, and the model converts them into a required format based on the context provided by the user. Generative AI is not an unknown or very recent concept. It has its roots dating back to the 20th century. However, it was not until 2014 that the development of Generative Adversarial Networks (GAN) could create authentic images, audio, and videos. The recent applications of Generative AI are OpenAI’s ChatGPT, Google’s Bard, and Microsoft LaMDA. One of the important domains where AI can make a significant impact is within the HR department. Organisations can use AI-powered HR tools to automate, enhance, and optimise their procedures from training and development, performance management, and payroll processing to resource allocation, onboarding and employee record management. This can help in reducing costs and improving decision-making capabilities while cancelling individual biases.