Artificial Intelligence

Generative AI, often referred to as 'Gen AI' are "deep learning models that can create complex original content-such as long-form text, high quality images realistic video or audio and more-in response to a user's prompt or request." -IBM

Generative AI is behind chatbot assistants like ChatGPT as well as the creation of deepfakes-convincing images, audio and video hoaxes.  

Launched in 2022 by the AI research company OpenAI, ChatGPT is chatbot that uses Generative AI to create humanlike conversational dialogue. The GPT stands for "Generative Pre-trained Transformer" in reference to how ChatGPT processes requests and formulates responses. 

ChatGPT is trained with reinforcement learning through human feedback and reward models that rank the best responses. This feedback helps augment ChatGPT with machine learning to improve future responses. The language model can respond to questions and compose various written content, including articles, social media posts, essays, code and emails.

From TechTarget Network

Generative models have been used for years in statistics to analyze numerical data. But over the last decade, they evolved to analyze and generate more complex data types. This evolution coincided with the emergence of three sophisticated deep learning model types:

• Variational autoencoders or VAEs, which were introduced in 2013, and enabled models that could generate multiple variations of content in response to a prompt or instruction.
• Diffusion models, first seen in 2014, which add "noise" to images until they are unrecognizable, and then remove the noise to generate original images in response to prompts.
• Transformers (also called transformer models), which are trained on sequenced data to generate extended sequences of content (such as words in sentences, shapes in an image, frames of a video or commands in software code). Transformers are at the core of most of today’s headline-making generative AI tools, including ChatGPT and GPT-4, Copilot, BERT, Bard and Midjourney. 

Courtesy of University of Texas Libraries