Fixes for docs/typos + remove max_utts parameter from tarred datasets as it causes hang in training
# What does this PR do ?

Fixes for docs/typos + remove max_utts parameter from tarred datasets as it causes hang in training

**Collection**: asr mainly

# Changelog 

The changes should be straightforward in most cases. The only thing to double check is that I fully removed `max_utts` parameter from tarred datasets (confirmed that it's not usable for ASR). But I'm not sure if there are some additional use-cases of this parameter besides ASR (e.g., TTS?) that might still be valid and working - but at least it does not seem to be present in any of the checked-in configs.

Another thing to mention is about changes in tutorials/00_NeMo_Primer.ipynb - I've only removed ";" at the end of some lines, since it seems like it was there by mistake (e.g., in cases of `model.summarize()` - we'd want to display the output, right?). But please let me know if it's there on purpose and I can put it back.

# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [x] Did you write any new necessary tests?
- [x] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [x] Documentation

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# Additional Information
* Related to # (issue)
