Category: Artificial Intelligence

Model Benchmarks

Model benchmarks are standard tests or sets of tasks used to measure and compare the performance of different machine learning models. These benchmarks provide a common ground for evaluating how well models handle specific challenges, such as recognising images, understanding language, or making predictions. By using the same tests, researchers and developers can objectively assess…

Chat History

Chat history refers to the record of messages and conversations that have taken place within a chat application or messaging platform. It allows users to review previous messages, track discussions, and maintain continuity in communication. Chat history can be stored locally on a device or in the cloud, depending on the platform’s design. It is…

UX Patterns

UX patterns are common solutions to recurring design problems in user interfaces. They help designers create experiences that are familiar and easy to use by following established ways of solving typical challenges. These patterns save time and effort because teams do not need to reinvent solutions for things like navigation, forms, or feedback messages. Using…

Response Labeling

Response labelling is the process of assigning descriptive tags or categories to answers or outputs in a dataset. This helps to organise and identify different types of responses, making it easier to analyse and understand the data. It is commonly used in machine learning, surveys, or customer service systems to classify and manage information efficiently.