Category: Regulatory Compliance

Adaptive Prompt Memory Buffers

Adaptive Prompt Memory Buffers are systems used in artificial intelligence to remember and manage previous interactions or prompts during a conversation. They help the AI keep track of relevant information, adapt responses, and avoid repeating itself. These buffers adjust what information to keep or forget based on the context and the ongoing dialogue to maintain…

Prompt Policy Enforcement Points

Prompt Policy Enforcement Points are specific locations within a system where rules or policies about prompts are applied. These points ensure that any prompts given to an AI or system follow set guidelines, such as avoiding harmful or inappropriate content. They act as checkpoints, verifying and enforcing the rules before the prompt is processed or…

Compliance via Prompt Wrappers

Compliance via prompt wrappers refers to the method of ensuring that AI systems, such as chatbots or language models, follow specific rules or guidelines by adding extra instructions around user prompts. These wrappers act as a safety layer, guiding the AI to behave according to company policies, legal requirements, or ethical standards. By using prompt…

Data Sharing via Prompt Controls

Data sharing via prompt controls refers to managing how and what information is shared with AI systems through specific instructions or settings in the prompt. These controls help users specify which data can be accessed or used, adding a layer of privacy and security. By using prompt controls, sensitive or confidential information can be protected…

Prompt Chain Transparency Logs

Prompt Chain Transparency Logs are records that track each step and change made during a sequence of prompts used in AI systems. These logs help users and developers understand how an AI model arrived at its final answer by showing the series of prompts and responses. This transparency supports accountability, troubleshooting, and improvement of prompt-based…

Prompt Benchmarking Playbook

A Prompt Benchmarking Playbook is a set of guidelines and tools for testing and comparing different prompts used with AI language models. Its aim is to measure how well various prompts perform in getting accurate, useful, or relevant responses from the AI. This playbook helps teams to systematically improve their prompts, making sure they choose…

Prompt Success Criteria

Prompt success criteria are the specific qualities or standards used to judge whether a prompt for an AI or chatbot is effective. These criteria help determine if the prompt produces the desired response, is clear, and avoids confusion. By defining success criteria, users can improve prompt design and achieve more accurate or useful results from…

Observability for Prompt Chains

Observability for prompt chains means tracking and understanding how a sequence of prompts and responses work within an AI system. It involves monitoring each step in the chain to see what data is sent, how the AI responds, and where any problems might happen. This helps developers find issues, improve accuracy, and ensure the system…

Prompt Debugging Tools

Prompt debugging tools are software solutions designed to help users test, analyse, and improve the instructions they give to AI models. These tools let users see how AI responds to different prompts, spot errors, and identify areas for improvement. They often provide features like version history, side-by-side comparisons, and transparency into how prompts affect outcomes.