What is enterprise AI? Enterprise AI is the use of AI technologies to solve complex business problems, improve decision-making, and automate tasks within organizations. Enterprise AI applications package core AI components – such as machine learning models, natural language processing and large language models (LLMs), data architecture, and more – into ready-to-use SaaS products designed […]
What is Ethical AI? Ethical AI is the development and deployment of AI in a way that is fair, unbiased, and respectful of human values.
What is Explainable AI / Explainability? Explainable AI / Explainability is the field of research focused on making machine learning models more interpretable and understandable. Explainable AI (sometimes written as XAI) techniques help stakeholders understand how models arrive at their decisions, fostering trust and enabling responsible AI development.
What is Feature Engineering? The process of transforming raw data into meaningful features that are best suited for machine learning models. This can involve techniques like data cleaning, normalization, and creating new features based on existing ones.
What are Features? Measurable attributes or characteristics extracted from raw data that are used as inputs for machine learning models. Feature selection and engineering are crucial steps in preparing data for effective model training.
What is Federated Learning? A machine learning technique that allows training models on distributed datasets without sharing the data itself, protecting privacy.
What is Field Validation? The process of verifying the accuracy and completeness of data entry within a specific field or data point. This ensures data quality and minimizes errors that could impact model performance.
What is Fine-tuning? Fine-tuning is a technique used to further train a pre-trained model on a specific task dataset. This leverages the existing knowledge of the pre-trained model while specializing it for the new task.
What is a Foundation Model (or Large Language Model – LLM)? A large, pre-trained AI model trained on massive amounts of text data. These models are versatile and can be fine-tuned for various tasks, such as text generation, translation, question answering, and code generation. (Examples include GPT-3)
What is Generative AI (Gen AI)? Generative AI is artificial intelligence models capable of creating new, original data, such as text, images, or code, based on learned patterns and relationships.