Textual Intelligence

5Generative AI Project Life Cycle—Use Case Planning and Scope Definition

Jyoti Rani¹*, Pawan Kumar² and Nidhi Sharma³

¹Satyug Darshan Institute of Engineering & Technology, Faridabad, India

²Ajay Kumar Garg Engineering College, Ghaziabad, India

³DPGITM (CAD DEPTT.) Gurugram, India

Abstract

Generative AI is a new concept in artificial intelligence (AI) technology which is used to create various forms of content such as text, images, audio, and synthetic data. Artificial intelligence generation uses deep learning algorithms to generate new content, like texts, images, and music by observing how large language models (LLM) behave, among others. This implies that it leverages the knowledge from training on a vast corpus of generic instances (e.g., Wikipedia, Common Crawl, etc.) to produce novel examples that are similar to those in the training set. Training of generative machines requires intelligence, such as the generation of fresh and creative data, movies, even, text, audio, and photos as well as standard AI operations. In contrast to patterns that identify sets of data that already exist, AI can be generative in making predictions and learning by producing wholly new material that generates and sets data from information based on fresh developments, with a variety of technological applications. This includes the production of design, art, and content as well as the construction of chatbots and virtual assistants. The several areas where generative AI can help are healthcare ...