Generative AI
AI systems capable of creating new content such as text, images, audio, or code based on learned patterns.
Detailed Definition
Generative AI refers to artificial intelligence systems that can create new, original content by learning patterns from existing data and generating novel outputs that resemble the training data but are not direct copies. This technology has transformed multiple industries by enabling AI to produce human-like text, realistic images, music, code, and even videos. Generative AI works by training large neural networks on vast datasets to understand underlying patterns, structures, and relationships, then using this knowledge to generate new content based on prompts or inputs. Popular examples include ChatGPT for text generation, DALL-E for images, and GitHub Copilot for code. The technology has applications in content creation, software development, design, education, and entertainment. Recent advances in generative AI have made it more accessible and powerful, with models capable of producing increasingly sophisticated and contextually appropriate outputs across various domains.
ApplicationsMore in this Category
Conversational AI
Technology that enables computers to interact with humans through natural language (speech or text).
Sentiment Analysis
The process of computationally determining the emotional tone or attitude expressed in text.
Workflow Automation
The use of technology to automatically execute a series of business processes or tasks to improve efficiency and accuracy.