Language modes are the different ways we use language to communicate, including speaking, listening, reading, and writing. Each mode involves different skills and can be used separately or together depending on the situation. Understanding language modes helps people use the most effective way to share or receive information.
Output length refers to the amount of content produced by a system, tool, or process in response to an input or request. In computing and artificial intelligence, it often describes the number of words, characters, or tokens generated by a program, such as a chatbot or text generator. Managing output length is important to ensure…
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,…
Prompt previews are features in software or AI tools that show users a sample or prediction of what a prompt will generate before it is fully submitted. This helps users understand what kind of output they can expect and make adjustments to their input as needed. By previewing the results, users can save time and…
A Prompt Builder is a tool or feature that helps users create effective prompts for AI language models. It often provides templates, suggestions, or step-by-step guidance to make it easier to phrase questions or commands clearly. This helps ensure the AI gives more accurate and useful responses.
Prompt stacking is a technique used to improve the performance of AI language models by combining several prompts or instructions together in a sequence. This helps the model complete more complex tasks by breaking them down into smaller, more manageable steps. Each prompt in the stack builds on the previous one, making it easier for…
Dynamic placeholders are special markers or variables used in digital content, templates, or software that automatically change based on context or input. Instead of static text, these placeholders update to show the right information for each user or situation. They help personalise messages, forms, or web pages by filling in specific details like names, dates,…
Prompt trees are structured frameworks used to organise and guide interactions with AI language models. They break down complex tasks into a sequence of smaller, manageable prompts, often branching based on user input or AI responses. This method helps ensure that conversations or processes with AI follow a logical path and cover all necessary steps.
Modular prompts are a way of breaking down complex instructions for AI language models into smaller, reusable parts. Each module focuses on a specific task or instruction, which can be combined as needed to create different prompts. This makes it easier to manage, update, and customise prompts for various tasks without starting from scratch every…
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…