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22 essential ai terms explained in plain English.
Using artificial intelligence to automatically improve marketing campaign performance.
Identifying unusual patterns or outliers in data.
Automated software that simulates conversation with users for support or sales.
AI that interprets and analyzes visual content.
AI technology enabling natural, human-like dialogue between users and software.
Using technology to automatically generate, adapt, and optimize marketing creative.
Automatically assembling personalized ads from creative components in real-time.
Numerical representations of text or images used to compare similarity.
Training an AI model on a specific dataset to improve performance on a narrow task.
When an AI model generates information that is incorrect or fabricated.
A machine learning model trained on vast text data to generate and understand language.
Large Language Model – AI systems trained on text data that can understand and generate human language.
AI systems that improve automatically through experience without explicit programming.
When an AI model's performance degrades as real-world data changes.
AI techniques that enable machines to understand and analyze human language.
Software that delivers individualized experiences across channels based on user data.
Using historical data and machine learning to forecast future outcomes and behaviors.
The skill of crafting inputs to get optimal outputs from AI language models.
A technique that manipulates AI prompts to produce unintended outputs.
Retrieval-augmented generation that combines AI with a knowledge base.
AI system that suggests relevant products or content based on user behavior and preferences.
Using AI to determine the emotional tone and opinion expressed in text content.
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