Comprehensive Glossary of AI and Tech Terms by Supervity
This glossary equips you with essential Generative AI (Gen AI) terms used by Supervity's AI platform. Understanding these concepts optimizes your workflow and unlocks advanced functionalities.
Key Terms
Creates new content (text, images, code) based on massive datasets. Supervity leverages Gen AI for powerful solutions.
AI models trained on vast data for specific tasks. Supervity utilizes them for faster development.
Crafting specific instructions to guide Gen AI models for desired creative output. Mastering prompting maximizes Supervity's AI tools.
Explore our comprehensive glossary below to discover definitions
for various Gen AI terms related to Supervity's technology.
Generative AI
AI that generates new data, generally used in tasks such as text generation or image synthesis.
Discriminative AI
AI that focuses on classifying between different categories based on input data.
ANI
Artificial Network Intelligence specializes in performing a specific set of tasks, lacking the general intelligence of humans.
Pre-trained Model
An LLM trained from scratch in a self-supervised way (without labels) on a very large dataset and made available for others to use.
Foundation LLM
LLM designed to generate and understand human-like text across a wide range of use-cases
Prompting
Providing carefully crafted inputs to an LLM to generate desired outputs.
User Prompt
Query provided by a user to interact with an LLM specifying the desired task, question, or context.
System Prompt
AI that generates new data, generally used in tasks such as text generation or image synthesis.
RAG
Retrieval-Augmented Generation. Appending retrieved information to improve model response.
Structured Data
Data organized in a predefined format with clear relationships between different elements like tables or databases.
Unstructured Data
Data lacking a predefined format or organization such as natural language texts or images
RPA
Involves user interface interactions, where software robots mimic human actions on graphical user interfaces to automate repetitive tasks.
In-Context Learning
Integrating task examples into prompts, enabling LLMs to handle new tasks without fine-tuning.
Knowledge Base
Collection of documents from which relevant information is retrieved in RAG.
Show & Tell AI
Records screen and actions and mimics the same actions to perform a task or create AI-powered in-app walkthroughs.
AI Agents
Designed to Read, Understand, Collaborate, Engage, and Act, utilizing a sophisticated mix of AI tools.
AI Coach
Integrated with advanced Large Language Model capabilities that enables creation and management of AI Agents.
AI Skill Hub
A central repository of digital skills created by subject matter experts. These digital skills enable users with accelerated digital adoption.
Collections
Organized data and knowledge in Collections for instant answers. It also allows turning Collections into instant chatbot.
In-App Walkthrough
A step-by-step guide within a software application to familiarize users with its features and functionalities.