What is Responsible AI? Responsible AI is the ethical development and deployment of AI that considers potential risks, biases, and societal impacts. It encompasses principles like fairness, transparency, accountability, and safety to ensure AI is used for good and benefits everyone.
What is Robotic Process Automation (RPA)? Automating repetitive, rule-based tasks using software robots.
What is Selection Bias? A type of bias that occurs when the data used to train a machine learning model is not representative of the target population. This can lead to models that perform poorly on real-world data and make biased predictions.
What is Self-Supervised Learning? Training ML models on unlabeled data by automatically generating labels or tasks from the data itself.
What is Semi-Supervised Learning? A machine learning technique that combines labeled and unlabeled data for training models. This approach can be beneficial when labeled data is scarce but a large amount of unlabeled data is available.
What is Sequence Modeling? A machine learning technique focused on modeling sequential data, where the order of elements is important. This is particularly relevant for tasks like natural language processing, time series forecasting, and music generation, where understanding the sequence of information is crucial.
What is a Small Language Model? Small Language Models are specialized in specific tasks and built with curated, selective data sources. A small language model (sometimes abbreviated as SLM or SMLM) is a type of foundation model trained on a smaller dataset compared to Large Language Models (LLMs). This focused training allows SLMs to learn […]
What is Stacking? An ensemble learning technique where multiple machine learning models are combined to create a more robust and accurate final model. Each individual model makes its prediction, and the stacked model then combines these predictions to produce a single, potentially superior outcome.
What is Steerability? The ability to influence the behavior of an AI system during its operation. This allows for real-time adjustments or guidance to ensure the system remains on track and aligned with desired goals.
What is Supervised Learning? Training ML models using labeled data, where each data point has a corresponding label or category.