Kelegan | Tech Fluency for an Evolving World

Definition A foundation model, also referred to as general-purpose AI (GPAI) is a type of AI capable of a range of general tasks (such as text synthesis, image manipulation and audio generation). Examples include OpenAI’s GPT-3 and GPT-4, foundation m…

Definition In Generative AI, frequency penalty is setting that prevents a model from reusing a word that has already been used multiple times in its output. Simply put, It is just like telling a model, “You’ve used that word several times, try somethi…

Definition Generative AI or gen AI, is artificial intelligence (AI) that is used to produce original content like text, images, video, audio or software code based on a user’s prompt or request [1]. There are different types of generative models, whic…

Definition Generative Pre-trained Transformers, or GPT, are a family of neural network models that use the transformer architecture and is a key advancement in artificial intelligence (AI) powering generative AI applications such as ChatGPT. GPT model…

Definition A graphics processing unit (GPU) is a parallel computing processor designed for rendering graphics, accelerating artificial intelligence (AI) workloads, and processing compute-intensive tasks like image processing and simulation. With hundr…

Definition Gradient descent is an optimization algorithm widely used to train machine learning models and neural networks by minimizing errors between predicted and actual results. As models process training data, the cost function measures accuracy w…

Definition In artificial intelligence, grounding is the process through which an AI system links its outputs to real-world knowledge and relevant data. In other words, grounding makes sure that an AI model produces credible information that is current…