Kelegan | Tech Fluency for an Evolving World

Definition Overfitting refers to a situation where a model  matches (memorizes) the training data set in such detail that the model fails to make correct predictions on new data. An overfit model is just like an invention that performs well in the l…

Definition Parameters are internal variables in AI model that have influence on how it behaves and the output it gives as results. They are just like control settings, such as knobs and switches, that the model can adjust to improve its performance.…

Definition In natural language processing, Part-of-Speech (POS) tagging is a technique that tags individual words within a sentence with specific grammatical categories or labels (such as nouns, verbs, adjectives, adverbs, pronouns, etc.). This proc…

Definition Pattern recognition is a processing capability of machine learning (ML), data analytics and AI that detects arrangements of characteristics in data which provides information about a given system or data set. Words, texts, photos, and aud…

Definition Predictive analytics is all about using statistical modeling, artificial intelligence, data mining techniques, and machine learning on current and historical data to predict future outcomes. With the help of these predictions, you are now…

Definition Presence Penalty is a parameter setting in Generative AI models, that controls or prevents the reuse of some phrases or words in its generated output, even if it’s only been used once. It’s just like telling a model, “You’ve used this wor…

Definition Pre-training is the initial stage in machine learning models where the model is fed with a massive dataset to learn fundamental patterns. As a standard, pre-training involves two stages, feature learning and fine-tuning. Feature learning …