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📚About
"True conversational AI is a voice assistant that can engage in human-like dialogue, capturing context and providing intelligent responses. Such AI models must be massive and highly complex," Sid Sharma from 'What Is Conversational AI?'. This lecture attempts to demystify conversational AI by covering its counterparts that include, but not limited to: Automatic Speech Recognition, Natural Language Processing & Understanding, Text-to-Speech Synthesis, Intention Extraction and Identification, etc.. We use NVIDIA's Jarvis, an application framework for multimodal conversational AI services that delivers real-time performance on GPUs, to perform sophisticated conversational AI tasks. By the end of the lecture, we present a Question/Answering Demo powered by NVIDIA's Jarvis. This lecture is outlined as follows:
⏲Outline⏲
00:00 Highlights
00:30 Introduction
01:18 What is Jarvis ?
03:44 System Requirements
04:24 Docker Installation
05:52 CUDA Installation
06:59 NGC Setup
09:15 Jarvis Setup
11:22 Jupyter Notebook Setup
11:51 Connecting to Jarvis Servers
18:02 ASR: Automatic Speech Recognition
28:39 Core NLP: Punctuation Model
33:43 Core NLP: Token Classification API
36:00 Core NLP: Text Classification
39:35 TTS: Text-to-Speech Synthesis
43:14 NLP: Intention Analysis
45:50 Synchronous Requests
47:48 Asynchronous Requests
48:53 Question/Answering Jarvis App
54:39 Summary
💰Donations
If possible, any donation is appreciated thru
Bitcoin: 327qhzF7yxQa2CiyL1Vnd63ccuMyAH1Ss9
Paypal: https://www.paypal.me/donationlink240
Patreon: / ahmadbazzi
🏗️Material
Jarvis: https://developer.nvidia.com/nvidia-j...
NGC: https://ngc.nvidia.com/
NVIDIA Drivers: https://www.nvidia.com/Download/index...
Support Matrix: https://docs.nvidia.com/deeplearning/...
CUDA: https://developer.nvidia.com/cuda-dow...
Docker: https://www.docker.com/
Browser: https://www.google.com/chrome/
Jupyter: https://jupyter.org/
IPython: https://ipython.org/
Wikipedia: https://pypi.org/project/wikipedia/
Librosa: https://librosa.org/doc/latest/index....
Numpy: https://numpy.org/
Google: https://www.google.com/
Pytorch: https://pytorch.org/
🎵 Thanks freesound.org and Setuniman and all the users in this list for the following sounds I have used;
https://freesound.org/people/Setunima...
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