Browse all content tagged with Model Training
A knowledge cutoff date is the specific point in time after which an AI model no longer has updated information. Learn why these dates matter, how they affect AI models, and see the cutoff dates for GPT-3.5, Bard, Claude, and more.
Human-in-the-Loop (HITL) is an AI and machine learning approach that integrates human expertise into the training, tuning, and application of AI systems, enhancing accuracy, reducing errors, and ensuring ethical compliance.
Transfer Learning is a powerful AI/ML technique that adapts pre-trained models to new tasks, improving performance with limited data and enhancing efficiency across various applications like image recognition and NLP.
Underfitting occurs when a machine learning model is too simplistic to capture the underlying trends of the data it is trained on. This leads to poor performance both on unseen and training data, often due to lack of model complexity, insufficient training, or inadequate feature selection.
