DEEP Backlog
Detailed, Estimated, Emergent, and Prioritized (DEEP) is an agile project management framework for a well-maintained product backlog.
Detailed, Estimated, Emergent, and Prioritized (DEEP) is an agile project management framework for a well-maintained product backlog.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
The process of defining and creating algorithms to solve problems and perform tasks efficiently.
A guided, interactive overlay that introduces users to features or tasks within an application.
A unit of measure used in Agile project management to estimate the relative effort required to complete a user story or task.
A principle that states tasks always take longer than expected, even when considering Hofstadter's Law itself.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems to create scalable and highly reliable software systems.