Batch prompt processing engines are software systems that handle multiple prompts or requests at once, rather than one at a time. These engines are designed to efficiently process large groups of prompts for AI models, reducing waiting times and improving resource use. They are commonly used when many users or tasks need to be handled…
Category: Regulatory Compliance
Chain-of-Thought Routing Rules
Chain-of-Thought Routing Rules are guidelines or instructions that help AI systems decide which reasoning steps to follow when solving a problem. They break down complex tasks into smaller, logical steps, ensuring that each decision is made based on the information gathered so far. This approach helps AI models stay organised and consistent, especially when processing…
Prompt Usage Footprint Metrics
Prompt usage footprint metrics are measurements that track how prompts are used in AI systems, such as how often they are run, how much computing power they consume, and the associated costs or environmental impact. These metrics help organisations monitor and manage the efficiency and sustainability of their AI-driven processes. By analysing this data, teams…
Secure Prompt Parameter Binding
Secure prompt parameter binding is a method for safely inserting user-provided or external data into prompts used by AI systems, such as large language models. It prevents attackers from manipulating prompts by ensuring that only intended data is included, reducing the risk of prompt injection and related security issues. This technique uses strict rules or…
Prompt-Driven Personalisation
Prompt-driven personalisation is a method where technology adapts content, responses, or services based on specific instructions or prompts given by the user. Instead of a one-size-fits-all approach, the system listens to direct input and modifies its output to suit individual needs. This makes digital experiences more relevant and helpful for each person using the service.
Prompt Code Injection Traps
Prompt code injection traps are methods used to detect or prevent malicious code or instructions from being inserted into AI prompts. These traps help identify when someone tries to trick an AI system into running unintended commands or leaking sensitive information. By setting up these traps, developers can make AI systems safer and less vulnerable…
Prompt Security Risk Register
A Prompt Security Risk Register is a tool used to identify, record, and track potential security risks related to prompts used in AI systems. It helps organisations document possible vulnerabilities that arise from how prompts are designed, used, or interpreted, ensuring these risks are managed and monitored. By keeping a register, teams can prioritise issues,…
Structured Prompt Testing Sets
Structured prompt testing sets are organised collections of input prompts and expected outputs used to systematically test and evaluate AI language models. These sets help developers check how well the model responds to different instructions, scenarios, or questions. By using structured sets, it is easier to spot errors, inconsistencies, or biases in the model’s behaviour.
Workflow-Constrained Prompting
Workflow-constrained prompting is a method of guiding AI language models by setting clear rules or steps that the model must follow when generating responses. This approach ensures that the AI works within a defined process or sequence, rather than producing open-ended or unpredictable answers. It is often used to improve accuracy, reliability, and consistency when…
Voice-Tuned Prompt Templates
Voice-tuned prompt templates are pre-designed text instructions for AI systems that are specifically shaped to match a certain tone, style, or personality. These templates help ensure that responses from AI sound consistent, whether the voice is friendly, formal, humorous, or professional. They are useful for businesses and creators who want their AI interactions to reflect…