Generative AI Development
Generative AI development is the process of designing, building, and deploying artificial intelligence (AI) systems that can autonomously generate content such as text, images, audio, video, or code. It involves selecting or fine-tuning generative models (e.g., large language models, generative adversarial networks), preparing high-quality training data, optimizing model performance, and integrating outputs into user applications or workflows. This development process also includes ensuring content quality, ethical use, scalability and alignment with business goals. Generative AI development powers applications in content creation, product design, customer interaction and automation – enabling organizations to innovate faster and deliver personalized, creative solutions at scale.
Related Terms
- Generative AI (Gen AI) Data Preparation
- Generative Adversarial Networks
- Generative AI
- Generative AI Consulting
- Generative AI Executive Advisory
- Generative AI Models
- Generative AI Readiness
- Generative AI for Business
- Generative AI for Enterprise
- Generative AI in Finance
- Generative AI in GBS
- Gen AI Transformation
- Gen AI Adoption
- Gen AI Deployment