[JARS-2115] Add TAO asr-Ngram model to Riva tutorial

[chan8972nv]

Update and add TAO NBs to Riva tutorials repo - ASR N-gram (https://jirasw.nvidia.com/browse/JARS-2115)

[NikhilSrihari]

@chankyu-nvda

1. Title "How to pretrain Riva ASR Language Model (n-gram) with TAO Toolkit?"
2. "This tutorial walks you through the pretraining of N-gram Language Modelling (LM) with TAO Toolkit" and "In this tutorial, we will pretrain N-gram Language Modelling with TAO Toolkit." - Modify acc to point num 1 from above
3. "Transfer Learning" and "TAO Toolkit" sections - Tie them together. Like say TAO uses Transfer Learning or something. Else Transfer Learning section is just hanging there.
4. "TAO Toolkit" - The TAO toolkit overview can be improved. Maybe add a line about zero-coding paradigm. The TAO framework image seems pretty complicated and we dont provide any explanation to it.
5. "Learning Objectives" - A lot of the hyperlinks are broken
6. "Learning Objectives" - "The earlier sections in the notebook give a brief introduction to the N-gram Language Modelling task, the datasets used for training and evaluating our N-gram language model. If you are already familiar with these, and want to jump right in, you can start at section on Data Preparation." - Where did we provide this information?
7. "Pre-requisites" - Do we wanna call out how to create the python env? And also call out how to run this nb in a ve? The Readme file of the Tutorials already does (Readme file will be present in the Riva Documentation page, under Tutorials section as Getting Started)
8. "Pre-requisites" - "In addition to installing TAO Toolkit package, please make sure of the following software requirements:" - Call this out before installing tao
9. "What's Next" - "You could use TAO Toolkit to build custom models for your own applications, or you could deploy the custom model to Nvidia Riva!" - Link to this NB. Where is this NB? I dont see this NB in this PR?

[chan8972nv]

Thanks @NikhilSrihari. Here are the point-by-point response to your comments.

@chankyu-nvda

1. Title "How to pretrain Riva ASR Language Model (n-gram) with TAO Toolkit?"
   Response) Done

2. "This tutorial walks you through the pretraining of N-gram Language Modelling (LM) with TAO Toolkit" and "In this tutorial, we will pretrain N-gram Language Modelling with TAO Toolkit." - Modify acc to point num 1 from above
   Response) Done

3. "Transfer Learning" and "TAO Toolkit" sections - Tie them together. Like say TAO uses Transfer Learning or something. Else Transfer Learning section is just hanging there.
   Response) Done

4. "TAO Toolkit" - The TAO toolkit overview can be improved. Maybe add a line about zero-coding paradigm. The TAO framework image seems pretty complicated and we dont provide any explanation to it.
   Response) This is general to TAO notebooks. I will get back to this later after discussing with TAO folks.

5. "Learning Objectives" - A lot of the hyperlinks are broken
6. "Learning Objectives" - "The earlier sections in the notebook give a brief introduction to the N-gram Language Modelling task, the datasets used for training and evaluating our N-gram language model. If you are already familiar with these, and want to jump right in, you can start at section on Data Preparation." - Where did we provide this information?
   Response) I remove this and move the “Language Modelling – Task description/n-gram model” to here.

7. "Pre-requisites" - Do we wanna call out how to create the python env? And also call out how to run this nb in a ve? The Readme file of the Tutorials already does (Readme file will be present in the Riva Documentation page, under Tutorials section as Getting Started)
8. "Pre-requisites" - "In addition to installing TAO Toolkit package, please make sure of the following software requirements:" - Call this out before installing tao
   Response) I change the “Pre-requisites” to “Installing and setting up TAO”. Moreover, while the “readme file” has the hardware/software requirement for TAO toolkit, this Installing “nvidia-pyindex/tao” process is general to all tao notebook. If these packages are already installed, it passes to the next step.

9. "What's Next" - "You could use TAO Toolkit to build custom models for your own applications, or you could deploy the custom model to Nvidia Riva!" - Link to this NB. Where is this NB? I dont see this NB in this PR?
   Response) We do not have this deployment notebook now. Typically, the deployment page is developed by Riva team and you are welcome to fill it up.

[LynseyFabel]

I've completed my review and left quite a few comments.

[NikhilSrihari]

@chankyu-nvda

4 . Got it
7 & 8. Got it
9. Aah, we need to discuss this further. Will bring it up with @arunraman @qvantvm for next release AIs discussion