Fix inf container tag in getting started TF-inf nb and polish exp REA…

…DME (NVIDIA-Merlin#1516)

examples/README.md

@@ -60,18 +60,17 @@ You can run the example notebooks by [installing NVTabular](https://github.com/N
 - Merlin-Tensorflow-Training (contains NVTabular with TensorFlow)
 - Merlin-Pytorch-Training (contains NVTabular with PyTorch)
 - Merlin-Training (contains NVTabular with HugeCTR)
-- Merlin-Inference (contains NVTabular with TensorFlow and Triton Inference support)
+- Merlin-Tensorflow-Inference (contains NVTabular with TensorFlow and Triton Inference support)
 
 To run the example notebooks using Docker containers, do the following:
 
 1. Pull the container by running the following command:
    ```
-   docker run --runtime=nvidia --rm -it -p 8888:8888 -p 8797:8787 -p 8796:8786 --ipc=host <docker container> /bin/bash
+   docker run --gpus all --rm -it -p 8888:8888 -p 8797:8787 -p 8796:8786 --ipc=host <docker container> /bin/bash
    ```
 
    **NOTES**: 
 
-   - If you are running on Docker version 19 and higher, change ```--runtime=nvidia``` to ```--gpus all```.
    - If you are running `Getting Started with MovieLens` , `Advanced Ops with Outbrain` or `Tabular Problems with Rossmann` example notebooks you need to add ` -v ${PWD}:/root/ ` to the docker script above. Here `PWD` is a local directory in your system, and this very same directory should also be mounted to the `merlin-inference`container if you would like to run the inference example. Please follow the `start and launch triton server` instructions given in the inference notebooks. 
    - If you are running `Training-with-HugeCTR` notebooks, please add `--cap-add SYS_NICE` to `docker run` command to suppress the `set_mempolicy: Operation not permitted` warnings.
 
@@ -80,7 +79,7 @@ To run the example notebooks using Docker containers, do the following:
    root@2efa5b50b909:
    ```
 
-2. Install jupyter-lab with `pip` by running the following command:
+2. If jupyter-lab is not installed, install jupyter-lab with `pip` by running the following command:
    ```
    pip install jupyterlab
    ```

examples/getting-started-movielens/04-Triton-Inference-with-TF.ipynb

@@ -69,7 +69,7 @@
    "metadata": {},
    "source": [
     "```\n",
-    "docker run -it --gpus device=0 -p 8000:8000 -p 8001:8001 -p 8002:8002 -v ${PWD}:/model/ nvcr.io/nvidia/merlin/merlin-inference:21.11\n",
+    "docker run -it --gpus device=0 -p 8000:8000 -p 8001:8001 -p 8002:8002 -v ${PWD}:/model/ nvcr.io/nvidia/merlin/merlin-tensorflow-inference:22.04\n",
     "```\n"
    ]
   },
@@ -351,7 +351,7 @@
     "        model.savedmodel/\n",
     "           <saved-model files>\n",
     "```\n",
-    "Let's check out our model repository layout. You can install tree library with apt-get install tree, and then run `!tree /model/models/` to print out the model repository layout as below:\n",
+    "Let's check out our model repository layout. You can install tree library with `apt-get install tree`, and then run `!tree /model/models/` to print out the model repository layout as below:\n",
     "               \n",
     "```\n",
     "/model/models/\n",