Lexical filters are tools or algorithms used to include or exclude words or phrases based on specific criteria. They help process text by filtering out unwanted or irrelevant terms, making analysis and search tasks more efficient. These filters are commonly used in applications like search engines, spam detection, and text analysis to improve the quality…
Tone control refers to the ability to adjust the balance of different frequencies in an audio signal, such as bass, midrange, and treble. It allows users to make the sound warmer, brighter, or more balanced according to their preferences or the acoustics of a room. Tone controls are commonly found on audio equipment like amplifiers,…
Syntax parsing is the process of analysing a sequence of words or symbols according to the rules of a language to determine its grammatical structure. It breaks down sentences or code into parts, making it easier for computers to understand their meaning. Syntax parsing is a key step in tasks like understanding human language or…
Dialogue memory is a system or method that allows a programme, such as a chatbot or virtual assistant, to remember and refer back to previous exchanges in a conversation. This helps the software understand context, track topics, and respond more naturally to users. With dialogue memory, interactions feel more coherent and less repetitive, as the…
Prompt sanitisation is the process of checking and cleaning user input before it is sent to an AI system or language model. This step helps to remove harmful, inappropriate or malicious content, such as offensive language, private information or code that could be used for attacks. It ensures that prompts are safe, appropriate and do…
Drift detection is a process used to identify when data or patterns change over time, especially in automated systems like machine learning models. It helps ensure that models continue to perform well, even if the underlying data shifts. Detecting drift early allows teams to update, retrain, or adjust their systems to maintain accuracy and reliability.
Query replay is a process used in databases and software systems to run previously recorded queries again, usually in a test or development environment. It helps teams understand how changes to a system might affect performance, stability, or correctness by simulating real user activity. This technique is often used before deploying updates to ensure that…
Overlap detection is the process of identifying when two or more objects, areas, or data sets share a common space or intersect. This is important in various fields, such as computer graphics, data analysis, and scheduling, to prevent conflicts or errors. Detecting overlaps can help ensure that resources are used efficiently and that systems behave…
Prompt regression refers to a gradual decline in the effectiveness or accuracy of responses generated by an AI language model when using a specific prompt. This can happen when updates to the model or system unintentionally cause it to interpret prompts differently or produce less useful answers. Prompt regression is a concern for developers who…
Prompt templates are pre-written structures or formats used to guide artificial intelligence systems, especially language models, in generating consistent and relevant responses. They help users by providing a starting point or framework for questions, instructions, or tasks, reducing the need to write prompts from scratch each time. This approach improves efficiency and ensures that AI…