[Improve] Update Otter and LLaVA docs and config.

[mzr1996]

As the title.

[codecov]

Codecov Report

Patch coverage: 37.25% and project coverage change: -2.65 ⚠️

Comparison is base (f9dcae2) 68.16% compared to head (06db3c8) 65.52%.

❗ Current head 06db3c8 differs from pull request most recent head c763a23. Consider uploading reports for the commit c763a23 to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##              dev    #1653      +/-   ##
==========================================
- Coverage   68.16%   65.52%   -2.65%     
==========================================
  Files         295      329      +34     
  Lines       23372    25584    +2212     
  Branches     3713     4076     +363     
==========================================
+ Hits        15932    16763     +831     
- Misses       6880     8210    +1330     
- Partials      560      611      +51     

Flag	Coverage Δ
unittests	65.52% <37.25%> (-2.65%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmpretrain/apis/feature_extractor.py	37.50% <0.00%> (ø)
mmpretrain/apis/image_caption.py	30.64% <0.00%> (ø)
mmpretrain/apis/image_retrieval.py	21.42% <0.00%> (ø)
mmpretrain/apis/visual_grounding.py	27.53% <0.00%> (ø)
mmpretrain/apis/visual_question_answering.py	25.67% <0.00%> (ø)
mmpretrain/datasets/__init__.py	60.46% <0.00%> (-13.83%)	⬇️
mmpretrain/datasets/flickr30k_caption.py	0.00% <0.00%> (ø)
mmpretrain/datasets/flickr30k_retrieval.py	0.00% <0.00%> (ø)
mmpretrain/datasets/gqa_dataset.py	0.00% <0.00%> (ø)
mmpretrain/datasets/nocaps.py	0.00% <0.00%> (ø)
... and 61 more

... and 1 file with indirect coverage changes

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