AI Glossary

AI Process Automation is the use of AI technologies to automate routine and repetitive tasks, enabling businesses to operate more efficiently and reducing human error.

AI Orchestration is the process of coordinating and managing multiple AI models and tools to work together on complex tasks. It ensures seamless integration and efficient workflow.

Technology that enables computers and networks to perform tasks that normally require human intelligence, such as decision-making, pattern recognition, and language understanding.

Cognitive computing refers to AI systems that mimic human thought processes to solve problems. These systems can learn and reason through data analysis.

An AI language model by OpenAI that can communicate in natural language and perform various tasks, from text generation to programming.

The number of tokens (words and characters) that an AI model can process at once in a single conversation or task.

An advanced form of machine learning that uses deep neural networks to discover complex patterns in data.

An AI system by OpenAI that can generate images based on text descriptions.

An AI-generated or manipulated video or image in which someone's face or voice has been realistically altered.

A research field within AI focused on making AI decisions understandable to humans.

An AI technique where the model learns from just a few examples instead of thousands or millions of data points.

The process of adapting an existing AI model for a specific task or domain through additional training.

AI systems that can create new content, such as text, images, music, or code, based on what they have learned.

An advanced AI model that can understand and generate natural language, trained on massive amounts of text data.

A subset of AI where computers learn from data and recognize patterns without being explicitly programmed.

An AI tool for generating artistic images based on text descriptions.

Natural Language Processing (NLP) is the technology that allows computers to understand and process human language. It is often used in chatbots and voice assistants.

A computer model inspired by the structure of the human brain, consisting of layers of neurons that process data.

A text-based instruction given to an AI system to perform a specific task or generate certain information.

The skill and technique of writing effective instructions (prompts) that make AI systems perform optimally for specific tasks.

An AI learning method where a model learns by receiving rewards and penalties based on its actions.

Sentiment analysis is a technique in AI used to extract opinions or attitudes from text. It can determine whether a customer review is positive, negative, or neutral.

Self-learning algorithms are computer programs that improve their performance by gaining experience without being explicitly programmed. They adapt their behavior based on the data they are fed.

A system that breaks text into smaller units (tokens) that an AI model can process. These can be words, parts of words, or punctuation marks.

The ability of an AI to perform tasks it was not specifically trained for, by applying existing knowledge to new situations.