CONVERSATIONAL AI VS. GENERATIVE AI: WHAT’S THE DIFFERENCE?

Generative AI is a creative hub that analyzes patterns using extensive data and existing examples and creates innovative output that even surpasses the human imagination. It is a beneficial tool for a professional who is in the marketing, artistic, or creative fields. Behind the success of generative AI, generative adversarial networks (GANs) play a significant role. This adversarial process leads to the generation of highly realistic content by using two components, i.e., a generator and a discriminator. These components operate effectively by teaching each other to produce better results.
While conversation AI, on the other hand, helps to bridge the gap between AI and humans, it relies on natural language understanding (NLU) and natural language generation (NLG) to mimic human-like conversation. Its ability to understand intent and process the necessary information allows it to generate the right response to customers’ queries instantly.
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