Description: A subset of machine learning models with an unparalleled ability to understand and generate human-like text based on massive datasets.
Applications: Assisting in content creation, automating responses, predicting upcoming regulatory trends, and contextualizing regulations across industries.
Description: Our proprietary AI model, optimized for regulatory management and change implementation across various regulatory agencies.
Applications: Regulatory prediction, multilingual compliance analysis, data interpretation, and more.
Description: A unique and proprietary approach to Natural Language Processing. It ensures the most accurate interpretation, determines information density, and comprehends complex regulatory texts.
Applications: Automated content summarization, sentiment analysis, regulatory intent understanding, and document clustering. Its patented nature ensures a distinct edge over conventional NLP solutions, giving Vector a competitive advantage.
RegLLM Prompt Engineering
RegLLM supports the following types of prompts:
Zero Shot Prompts: These are prompts that require no previous knowledge or information related to the topic.
One-Shot Prompts: These are prompts that require only a single response or answer.
Information Retrieval Prompts: These are prompts that require information from a specific source or resource.
Context Expansion Prompts: These are prompts that require an explanation or additional context to provide a complete answer.
Content Summarization with Specific Focus Prompts: These are prompts that require a concise summary of a specific topic or subject.
Chain-Of-Thought Prompting: These are prompts that require a thought process or chain of reasoning to answer.