Generative ai
Generative AI refers to a category of artificial intelligence technology that can produce various types of content such as text, images, audio, video, and code l. It works by training machine learning models to create new data rather than making predictions . Generative AI models learn the patterns of input data and generate new data with similar characteristics . This capability enables users to quickly generate new content based on different inputs, and it has applications across various industries including healthcare, where it can help generate synthetic medical data, develop new drug candidates, and design clinical trials .Generative AI is utilized by companies like Google and AWS to empower businesses and governments to build applications efficiently and responsibly . It is an essential tool for creating innovative content like audio, code, images, simulations, and videos .
Generative AI
Definition
- Generative AI refers to algorithms like ChatGPT that create various types of content, including text, imagery, audio, and synthetic data.
Functionality
- It creates new data based on training patterns from existing data.
- Users can quickly generate diverse content forms like text, images, video, audio, and code.
Applications
Business and Government: Empowers quick, efficient, and responsible development of generative AI applications.
Healthcare:
Aids in generating synthetic medical data, training ML models, drug development, and clinical trial design.
Benefits
Creative Content:
Enables the generation of creative content like simulations and videos.
Efficiency:
Facilitates rapid content generation based on input data [citation:4].
Tools and Platforms
Google Cloud:
Provides insights into how generative AI works.
AWS:
Offers tools for building and scaling generative AI applications securely and responsibly.
If you want to learn generative AI please follow the link 🔗
Post a Comment