AGI: Artificial general intelligence has not yet been realized and would be when an AI system can learn, understand, and solve any problem that a human can.
AI: The simulation of human intelligence in machines.
ChatGPT: An AI program developed by OpenAI that generates human-like text responses based on given prompts, utilizing the GPT model.
Generative Pre-Training Transformer (GPT): An autoregressive language prediction model using deep learning to produce human-like text, serving as the basis for ChatGPT.
Large Language Models: Apply deep neural networks to text data and generate output from prompts.
Machine learning: A sub field of AI focused on the problems of designing recursive algorithms capable of learning.
Natural Language Processing: Refers to a branch of artificial intelligence concerned with giving computers the ability to understand text and spoken word in the same way humans can.
Supervised learning: A machine learning technique where the authors of the model tell the machine learning algorithm how to handle the training data in order to generate the desired output.
Training data: The information that is digested by a machine learning algorithm.
Unsupervised learning: A machine learning technique where the machine learning algorithm creates its own labels for variables within the training data.