Different between Generative AI and Multimodal AI? in Tabular form
| Feature | Generative AI | Multimodal AI |
| Input Data | Can be any data type, but typically focuses on a single type (e.g., text, images, code) | Processes and generates information from multiple data types (e.g., text, images, audio, video) |
| Output Data | Generates new content within the same data type as the input | Can generate content in various data types, even different from the input |
| Training Data | Typically trained on large datasets of a single data type | Requires diverse datasets encompassing multiple data types |
| Capabilities | Excels in tasks like text generation, image creation, code writing within its specific domain | Can perform more complex tasks requiring understanding and integrating information across different modalities |
| Examples | GPT-3 for text generation, DALL-E 2 for image generation | Systems that can generate image captions, answer questions about images, or translate between languages and visual information |
| Applications | Chatbots, content creation, code generation | Robotics, human-computer interaction, content creation with richer experiences |