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Answer :
Conversational AI focuses on facilitating human-computer interaction through dialogue, while generative AI creates new content or data based on patterns learned from existing data.
Conversational AI:
- Purpose: Designed to interact with users in a conversational manner, often through chatbots or virtual assistants.
- Function: Uses natural language processing (NLP) to understand and respond to user queries, providing information or assistance.
- Examples: Siri, Alexa, and customer service chatbots.
- Scope: Primarily focused on dialogue management and understanding user intent.
- Technology: Utilizes language models and dialogue systems to engage in meaningful interactions.
Generative AI:
- Purpose: Creates new content such as text, images, or music based on learned patterns from existing data.
- Function: Uses algorithms to generate novel outputs that resemble training data but are not direct copies.
- Examples: GPT-4 (for text), DALL-E (for images), and music composition models.
- Scope: Broader application, including content creation, design, and data augmentation.
- Technology: Relies on models like generative adversarial networks (GANs) and variational autoencoders (VAEs) to produce new content.
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