A use-case-based prompt taxonomy is a system for organising prompts given to artificial intelligence models, categorising them based on the specific tasks or scenarios they address. Instead of grouping prompts by their structure or language, this taxonomy sorts them by the intended purpose, such as summarising text, generating code, or answering questions. This approach helps…
Category: Regulatory Compliance
Named Entity Prompt Injection
Named Entity Prompt Injection is a type of attack on AI language models where an attacker manipulates the model by inserting misleading or malicious named entities, such as names of people, places, or organisations, into prompts. This can cause the model to generate incorrect, biased, or harmful responses by exploiting its trust in the provided…
Structured Prompt Design Patterns
Structured prompt design patterns are repeatable ways to organise and phrase instructions for AI language models, making their outputs more accurate and consistent. These patterns use specific templates, formats or rules to guide the AI in understanding and responding to tasks. By applying these patterns, users can reduce ambiguity and help the AI focus on…
Persona-Driven Prompt Tuning
Persona-driven prompt tuning is a method for adjusting the way prompts are written or structured so that a language model responds in the style or voice of a specific character or role. This involves providing context, background, or behavioural cues in the prompt, guiding the model to act as if it were a certain person…
Feedback-Adaptive Prompting
Feedback-Adaptive Prompting is a method used in artificial intelligence where the instructions or prompts given to a model are adjusted based on the responses it produces. If the model gives an incorrect or unclear answer, the prompt is updated or refined to help the model improve its output. This process continues until the desired result…
Prompt Flow Visualisation
Prompt flow visualisation is a way to graphically display the sequence and structure of prompts and responses in a conversational AI system. It helps users and developers see how data and instructions move through different steps, making complex interactions easier to understand. By laying out the flow visually, it becomes simpler to spot errors, improve…
Skill-Specific Prompt Templates
Skill-specific prompt templates are pre-designed text instructions used to guide artificial intelligence tools to perform particular tasks or demonstrate certain skills. These templates help users quickly generate the right kind of responses or outputs by providing a clear structure for their requests. They are especially useful for repeating tasks, ensuring consistency, and saving time when…
Prompt-Based Feature Flags
Prompt-based feature flags are a way to control which features an artificial intelligence model uses or activates based on instructions given in the prompt. Instead of relying on code or configuration files, the behaviour of the system can be changed by wording specific commands or keywords within the user input. This approach allows for dynamic…
Meta-Prompt Management
Meta-prompt management is the process of organising, creating, and maintaining prompts that are used to instruct or guide artificial intelligence systems. It involves structuring prompts in a way that ensures clarity, consistency, and effectiveness across different applications. Good meta-prompt management helps teams reuse and improve prompts over time, making AI interactions more reliable and efficient.
Latent Prompt Augmentation
Latent prompt augmentation is a technique used to improve the effectiveness of prompts given to artificial intelligence models. Instead of directly changing the words in a prompt, this method tweaks the underlying representations or vectors that the AI uses to understand the prompt. By adjusting these hidden or ‘latent’ features, the AI can generate more…