A token budget is a limit set on the number of tokens that can be used within a specific context, such as an API request, conversation, or application feature. Tokens are units of text, like words or characters, that are counted by language models and some software systems to measure input or output size. Managing…
Cost breakdown is the process of dividing the total cost of a project, product or service into its individual components. This helps people understand exactly where money is being spent and which areas contribute most to the total cost. By analysing these parts, businesses can find ways to save money or manage their budgets more…
Model accuracy measures how often a predictive model makes correct predictions compared to the actual outcomes. It is usually expressed as a percentage, showing the proportion of correct predictions out of the total number of cases. High accuracy means the model is making reliable predictions, while low accuracy suggests it may need improvement.
Token usage refers to the number of pieces of text, called tokens, that are processed by language models and other AI systems. Tokens can be as short as one character or as long as one word, depending on the language and context. Tracking token usage helps manage costs, performance, and ensures that the input or…
Prompt efficiency refers to how effectively and concisely a prompt communicates instructions to an AI system to get accurate and relevant results. It involves using clear language, avoiding unnecessary details, and structuring requests so the AI can understand and respond correctly. Efficient prompts save time and resources by reducing the need for repeated clarifications or…
Named recognition refers to the process of identifying and classifying proper names, such as people, organisations, or places, within a body of text. This task is often handled by computer systems that scan documents to pick out and categorise these names. It is a foundational technique in natural language processing used to make sense of…
Text simplification is the process of making written content easier to read and understand. This is done by using simpler words, shorter sentences, and clearer structure, while keeping the original meaning. It helps more people, including those with reading difficulties or those learning a new language, access information more easily.
Prompt polishing is the process of improving and refining instructions given to an AI model to achieve clearer, more accurate, or more relevant responses. It involves editing the wording, structure, and detail of prompts so the AI better understands what is being asked. Effective prompt polishing helps avoid misunderstandings and increases the quality of the…
A token window refers to the amount of text, measured in tokens, that an AI model can process at one time. Tokens are pieces of words or characters that the model uses to understand and generate language. The size of the token window limits how much information the model can consider for a single response…
Intent resolution is the process of figuring out what a user wants to do when they give a command or make a request, especially in software and digital assistants. It takes the input, such as a spoken phrase or typed command, and matches it to a specific action or outcome. This process often involves analysing…