Conversational AI

Accelerate the Full Pipeline, from Speech Recognition to Language Understanding and Speech Synthesis

 Conversational AI applications—such as virtual assistants, digital avatars, and chatbots—are paving a revolutionary path to personalized, natural human-machine conversations. But they face strict accuracy and latency requirements. With NVIDIA’s conversational AI platform, developers can quickly build and deploy cutting-edge applications that deliver high-accuracy and respond in far less than 300 milliseconds—the speed for real-time interactions.

The Benefits of Conversational AI

Agent Efficiency

Agent Efficiency

Support contact center agents by transcribing their customer conversations in real time, analyzing them, and providing recommendations to quickly resolve customer queries.

Digital Accessibility

Digital Accessibility

Allow people with hearing difficulties to consume audio content and individuals with speech impairments to express themselves more easily.

High Availability

High Availability

Use chatbots and virtual assistants to resolve customer inquiries and provide valuable information outside of human agents' normal business hours.

Engaging Experiences

Engaging Experiences

Offer engaging  experiences with capabilities like live captioning, generating expressive synthetic voices, and understanding customer preferences.

Introduction to Conversational AI

Get an introduction to conversational AI, how it works, and how it’s applied in industry today. 

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Conversational AI Across Industries

Finance

Financial Services

Detecting fraudulent activity is critical for any organization in the financial services industry. Chatbots can assist by identifying patterns of transactions made, including amounts and locations, and personalizing interactions. Conversational AI can also be used in agent assistance and transcription of earning calls to increase call coverage.

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Telecommunications

Telecommunications

Contact centers are one of the first things that come to mind when we think of the telecommunications industry. They are at the heart of any telco business, and conversational AI can help accelerate many applications such as agent assist, virtual agents, and extracting insights for things like sentiment analysis.

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Consumer Services

Consumer Services

Conversational AI can improve a number of processes within the consumer services industry, from creating meeting summaries and scheduling follow-up meetings to generating live captioning during virtual meetings. In addition, conversational AI can provide voice commands to smart glasses and generate synthetic voices that sound like humans for use in consumer applications.

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NVIDIA Solutions For Conversational AI Applications

Speech AI

Speech AI technologies include automatic speech recognition (ASR) and text-to-speech (TTS). NVIDIA® Riva is a GPU-accelerated speech AI SDK for developing real-time speech AI pipelines that you can integrate into your conversational AI application.

To get the most out of Riva, use any NVIDIA T4, V100,  or A100 Tensor Core GPU. Learn more about what speech AI is, its benefits, use cases, and challenges  here.

Smarter Training with the NVIDIA TAO Toolkit

Smarter Training with the NVIDIA TAO Toolkit

Speed up development time by 10X using production-quality, NVIDIA-pretrained models and the NVIDIA TAO Toolkit.

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Simplify Deployment with NVIDIA Riva

Simplify Deployment with NVIDIA Riva

Deploy optimized speech AI services for maximum performance in the cloud, in the data center, in embedded devices, and at the edge.

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Natural Language Processing

There are two types of natural language processing (NLP): language models with fewer parameters and big NLP models with up to trillion  parameters. NVIDIA NeMo and NeMo Megatron are for training small and large language models, respectively.

NeMo Megatron models can be exported to NVIDIA Triton™ Inference Server for high-performance inference in production. You can maximize the performance of NeMo Megatron by running it on NVIDIA DGX SuperPODs™ with A100 GPUs. 

Easily Develop Models with NVIDIA NeMo

Easily Develop Models with NVIDIA NeMo

Build, train, and fine-tune state-of-the-art speech and language models using the NVIDIA NeMo open-source framework.

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Effectively Train Large Language Models With NeMo Megatron

Train Large Language Models With NeMo Megatron

Curate training data and easily train and scale large language models up to a trillion parameters using NeMo Megatron

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Accelerating Enterprises and Developer Libraries

  • Ecosystem Partners
  • Developer Libraries

GPU-accelerate top speech, vision, and language workflows to meet enterprise-scale requirements.

Data Monsters
InstaDeep
Intelligent Voice
Kensho
MeetKai
MTS
NetApp
QuantiPhi
Siminsights
Voca.ai

Build GPU-accelerated, state-of-the-art deep learning models with popular conversational AI libraries.

DeepPavlov
ESPNet
Hugging Face
Ludwig
PerceptiLabs
SpaCy
RASA

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these three upcoming Conversational AI sessions at GTC.

Speech AI Demystified

Speech AI technologies, including automatic speech recognition and text-to-speech, are ubiquitous in consumer applications such as virtual assistants and are increasingly being used in industries to provide personalized human-like interactions through service robots and digital avatars.

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How to use Generative AI to Build Content for Real-World Applications

Join us at GTC23 to learn how recent developments in generative AI can amplify creative problem-solving, bring new ideas to life, and see how these applications can potentially be implemented by examining a case study.

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Transforming Contact Centers with Speech AI

We’ll explore the benefits and challenges of using automatic speech recognition, multi-language translation, and text-to-speech to deliver faster and more accurate customer self-service.

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