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BUILD YOUR OWN REAL-TIME CONVERSATIONAL AI APPLICATIONS
Recent breakthroughs in speech recognition, natural language understanding (NLU), and text-to-speech (TTS) are unlocking new opportunities in every industry. Still, building a production-ready application that’s fine-tuned to your business needs can be tricky. Highlighted below are some resources to get started.

Introducing Jarvis: Framework for GPU-Accelerated Conversational AI... (blog)
This blog introduces a new application framework for building and deploying high-performance multimodal conversational AI applications.

NVIDIA NeMo: Fast development of speech and language models (blog)
In this tutorial, you’ll learn how to easily build and fine-tune a speech recognition model, with a notebook example to follow along.

Introduction to Building Conversational AI Apps for Enterprise (webinar)
In this webinar, NVIDIA research and software engineers will use an example to show how to build a conversational AI application that is optimized for GPUs. You will see how to fine tune models to your custom data and then how to convert them to ASR, NLU, and TTS services.

For additional tutorials and technical resources, be sure to visit the NVIDIA Developer Blog.
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