GPT-3, one such prominent generative model, can understand and generate contextually relevant responses to user inputs.
Email automation: Automatically generate concise yet informative email replies. Social media content: Generate engaging captions or post ideas tailored to specific audiences. Data summarization: Summarize lengthy documents into shorter versions without losing critical information.
One of the fascinating capabilities of generative AI systems is their ability to generate video content based on textual input. By analyzing and understanding natural language descriptions, these generative adversarial networks (GANs) can create realistic visual representations that match the given context.
Beyond generating videos, generative AI can also produce three-dimensional objects using textual descriptions as a starting point. For instance, researchers have developed DALL-E, an AI model capable of creating unique images by interpreting text prompts accurately.