NVIDIA has recently concluded its GTC 2020 virtual conference, where it has announced the NeMo model for the building speech and language models in order to create state-of-the-art conversational AI. Introducing NeMo at the event, it was mentioned as an open-source PyTorch toolkit that has been developed for building and training GPU-accelerated conversational AI models.

With components like the model, neural module, and neural type, NeMo creates the building block for developing conversational AI models, with which users can create as well as train state-of-the-art neural network architectures.

This year, with the pandemic lockdown, there has been a significant shift in how businesses are working, which has indeed created a massive demand for AI-based services like chatbots that can interact with people and customers bridging the language gap between humans and machines. This surge has made conversational AI a necessity for many industries where businesses are deploying applications to understand and communicate with their customers.

Thus, releasing NeMo, by NVIDIA, was required now more than ever. However, understanding this open-source toolkit might not be entirely easy for developers. And that is why we have come up with a curated list of online free resources that can help you understand it and get hands-on.e.

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