Role-Specific Prompt Engines are AI systems or tools designed to generate responses or content based on a particular job or function. They use prompts that are customised for specific roles, such as customer support, legal advisor, or software developer. This specialisation helps the AI provide more accurate and relevant answers by focusing on the needs,…
Category: Regulatory Compliance
Prompt Lifecycle Governance
Prompt Lifecycle Governance refers to the structured management of prompts used with AI systems, covering their creation, review, deployment, monitoring, and retirement. This approach ensures prompts are effective, up to date, and compliant with guidelines or policies. It helps organisations maintain quality, security, and accountability in how prompts are used and updated over time.
Inference-Aware Prompt Routing
Inference-aware prompt routing is a technique used to direct user queries or prompts to the most suitable artificial intelligence model or processing method, based on the complexity or type of the request. It assesses the needs of each prompt before sending it to a model, which can help improve accuracy, speed, and resource use. This…
Conversational Token Budgeting
Conversational token budgeting is the process of managing the number of tokens, or pieces of text, that can be sent or received in a single interaction with a language model. Each token can be as small as a character or as large as a word, and models have a maximum number they can process at…
Probabilistic Prompt Switching
Probabilistic prompt switching is a method used in artificial intelligence where a system selects between different prompts based on assigned probabilities. Instead of always using the same prompt, the system randomly chooses from a set of prompts, with some prompts being more likely to be picked than others. This approach can help produce more varied…
Roleplay Prompt Containers
Roleplay prompt containers are structured formats or templates used to organise information, instructions, and context for roleplaying scenarios, especially in digital environments. They help set clear boundaries, character roles, and objectives, making it easier for participants or AI to understand their parts. These containers ensure consistency and clarity by grouping relevant details together, reducing confusion…
Memory-Constrained Prompt Logic
Memory-Constrained Prompt Logic refers to designing instructions or prompts for AI models when there is a strict limit on how much information can be included at once. This often happens with large language models that have a maximum input size. The aim is to make the most important information fit within these limits so the…
Dynamic Prompt Autonomy
Dynamic Prompt Autonomy refers to the ability of an AI or software system to modify, generate, or adapt its own instructions or prompts without constant human input. This means the system can respond to changing situations or user needs by updating how it asks questions or gives tasks. The goal is to make interactions more…
Prompt-Driven Microservices
Prompt-driven microservices are small, independent software services that use natural language prompts as their main way of receiving instructions. Instead of relying on strict programming interfaces or fixed commands, these microservices interpret and act on human-like requests. This approach makes it easier for users and other systems to interact with complex services by describing what…
Cognitive Prompt Layering
Cognitive prompt layering is a technique used to guide artificial intelligence systems, like chatbots or language models, by organising instructions or prompts in a structured sequence. This method helps the AI break down complex problems into smaller, more manageable steps, improving the quality and relevance of its responses. By layering prompts, users can control the…