Generative artificial intelligence uses machine learning and deep learning to create new content from learned patterns. Unlike predictive AI, which forecasts future events, generative AI produces outputs such as text, images, scripts, diagrams, and documentation. section 22.3.2 section 22.4
In network operations, generative AI supports automation but remains less widely applied than predictive AI. Its uses include creating scripts, generating network diagrams and documentation, supporting plug-and-play deployments, and enabling intent-based networking. section 22.3.3 section 22.4
Common generative AI outputs include:
- Human-like text generated from user input by large language models. section 22.3.2
- Detailed images created from text descriptions. section 22.3.2
- Network scripts, diagrams, documentation, and intent-based configurations. section 22.4
Figure 22.13 Predictive and generative AI are applications of machine learning and deep learning to predict future events and generate new content.
Use the figure to place generative AI within deep learning and machine learning, alongside predictive AI. section 22.3.2
