Conversational AI is the technology that powers automated messaging and speech-enabled applications—such as AI virtual assistants, digital humans, and chatbots—which are paving a revolutionary path to personalized, natural human-machine conversations. But they need to be accurate and fast to be useful. With NVIDIA’s conversational AI solutions—including generative, speech, and translation NVIDIA NIM? microservices—developers can quickly build and deploy cutting-edge models that deliver the high accuracy and quick responses needed for real-time interactions.
Support contact center agents by transcribing customer conversations in real time, analyzing them, and providing recommendations to quickly resolve customer queries.
Enable people with hearing difficulties to consume audio content and individuals with speech impairments to express themselves more easily.
Use chatbots and AI virtual assistants to resolve customer inquiries and provide valuable information outside of human agents' normal business hours.
Offer engaging experiences with capabilities like live captioning, generating expressive synthetic voices, and understanding customer preferences.
See how NVIDIA AI supports industry use cases, and jump-start your conversational AI development with curated examples.
To enhance customer service experiences and strengthen customer relationships, businesses are building avatars with internal, domain-specific knowledge and recognizable brand voices. With NIM, RAG-enhanced LLMs, and Riva’s world-class, fully customizable, multilingual speech and translation AI, they deliver personalized answers and recommendations with unique, high-quality, customized voices.
Businesses are often challenged to extract insights and generate new content from diverse in-house data sources, including text, images, videos, audio, animations, and 3D models. With NVIDIA NeMo, organizations can customize pretrained, RAG-enhanced LLMs. Integrating their domain expertise and proprietary data lets them create relevant, customized, and accurate content tailored to their needs.
Businesses are deploying AI virtual assistants to efficiently address the queries of millions of customers and employees around the clock. Powered by customized NVIDIA NIM microservices for LLMs, RAG, and speech and translation AI, these AI teammates deliver immediate and natural-sounding responses, even in the presence of background noise, poor sound quality, and diverse dialects and accents.
Consumers expect contact center agents to resolve their issues quickly and efficiently. To help agents deliver the best possible experiences, enterprises across diverse industries are deploying agent assist technology powered by NIM microservices for RAG, LLMs, and speech and translation AI. This technology provides real-time facts and suggestions, helping agents respond more effectively and efficiently. The multimodal PDF data extraction NIM Agent Blueprint can enhance generative AI applications with RAG, infusing AI agents with instant knowledge collected from massive volumes of data.
In the global economy, businesses hold millions of online meetings daily and serve customers with diverse linguistic backgrounds. Companies achieve accurate live captioning with real-time transcription and translation, accommodating worldwide accents and domain-specific vocabularies. They can use LLM NIM microservices for summarization and insights, ensuring effective communication and smooth global interactions.
Service robots are increasingly found in hospitals, airports, and retail stores worldwide. They aid frontline workers by handling daily repetitive tasks in restaurants and manufacturing facilities, assist customers in locating store items, and support physicians and nurses in patient care.
GPU-accelerate top speech, translation, and language workflows to meet enterprise-scale requirements.
Build GPU-accelerated, state-of-the-art deep learning models with popular conversational AI libraries.
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