Tone switching is the act of changing the way you communicate based on your audience or situation. This involves adjusting your language, style, or attitude to fit what is most appropriate or effective. It helps ensure your message is understood and received well by different groups of people.
Conditional replies are responses that depend on certain conditions or rules being met before they are given. This means the reply changes based on input, context, or specific triggers. They are often used in chatbots, automated systems, and customer service tools to provide relevant and appropriate responses to different situations.
Behaviour flags are markers or indicators used in software and systems to track or signal specific actions, choices, or patterns of behaviour. They help identify when certain events occur, such as a user clicking a button, exceeding a usage limit, or breaking a rule. These flags can then trigger automated responses or inform further actions,…
Name injection is a type of security vulnerability where an attacker manipulates input fields to inject unexpected or malicious names into a system. This can happen when software uses user-supplied data to generate or reference variables, files, or database fields without proper validation. If not handled correctly, name injection can lead to unauthorised access, data…
Output styling refers to the way information, data, or results are visually presented to users. This can include choices about colours, fonts, spacing, layout, and the overall look and feel of the content. Good output styling makes information easier to understand and more pleasant to interact with. It is important in software, websites, printed materials,…
Response divergence refers to the situation where different systems, people or models provide varying answers or reactions to the same input or question. This can happen due to differences in experience, training data, interpretation or even random chance. Understanding response divergence is important for evaluating reliability and consistency in systems like artificial intelligence, surveys or…
Comparison pairs refer to sets of two items or elements that are examined side by side to identify similarities and differences. This approach is commonly used in data analysis, research, and decision-making to make informed choices based on direct contrasts. By systematically comparing pairs, patterns and preferences become clearer, helping to highlight strengths, weaknesses, or…
A Clarity Score is a measure that indicates how easily a piece of text can be understood by its intended audience. It typically uses factors such as sentence length, word complexity, and structure to evaluate readability. The score helps writers and editors make sure their content is clear and accessible.
Accuracy drops refer to a noticeable decrease in how well a system or model makes correct predictions or outputs. This can happen suddenly or gradually, and often signals that something has changed in the data, environment, or the way the system is being used. Identifying and understanding accuracy drops is important for maintaining reliable performance…
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…