Hotfix/tutorial readme index (#1922)

* [tutorial] removed tutorial index in readme

* [tutorial] removed tutorial index in readme

examples/tutorial/auto_parallel/README.md

-# Handson 3: Auto-Parallelism with ResNet
+# Auto-Parallelism with ResNet
 
 ## Prepare Dataset
 

examples/tutorial/hybrid_parallel/README.md

-# Handson 1: Multi-dimensional Parallelism with Colossal-AI
+# Multi-dimensional Parallelism with Colossal-AI
 
 
 ## Install Titans Model Zoo

examples/tutorial/large_batch_optimizer/README.md

-# Handson 4: Comparison of Large Batch Training Optimization
+# Comparison of Large Batch Training Optimization
 
 ## Prepare Dataset
 

examples/tutorial/opt/README.md

-# Handson 5: Fine-tuning and Serving for OPT from Hugging Face
+# Fine-tuning and Serving for OPT from Hugging Face

examples/tutorial/sequence_parallel/README.md

-# Handson 2: Sequence Parallelism with BERT
+# Sequence Parallelism with BERT
 
 In this example, we implemented BERT with sequence parallelism. Sequence parallelism splits the input tensor and intermediate
 activation along the sequence dimension. This method can achieve better memory efficiency and allows us to train with larger batch size and longer sequence length.
@@ -140,4 +140,3 @@ machine setting.
   launch_from_slurm` or `colossalai.launch_from_openmpi` as it is easier to use SLURM and OpenMPI
   to start multiple processes over multiple nodes. If you have your own launcher, you can fall back
   to the default `colossalai.launch` function.
-