Which application is designed for developing conversational AI with multimodal interactions?

NVIDIA Riva is specifically designed for developing conversational AI systems that can handle multimodal interactions. This means that Riva supports the integration of various types of media inputs, such as text, speech, and potentially visual data, enabling richer and more engaging user interactions. It employs advanced AI techniques, including natural language processing and computer vision, allowing developers to create applications that can understand and respond to human inputs in a more nuanced and versatile manner.

In contrast, NVIDIA Merlin is focused on recommendation systems and optimizing data pipelines for machine learning, which does not directly pertain to conversational interfaces. NeMo Guardrails is oriented toward providing safeguards and structures for AI models, enhancing their reliability, and does not specifically enable conversational AI development. LoRa, largely known for long-range wireless communication, does not relate to AI or multimodal interactions. Hence, Riva stands out as the appropriate choice for developing sophisticated conversational AI with multimodal capabilities.