diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index e780f26420..8899a05e5a 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -105,9 +105,9 @@ MONAI tests are located under `tests/`.
 A bash script (`runtests.sh`) is provided to run all tests locally.
 Please run ``./runtests.sh -h`` to see all options.
 
-To run a particular test, for example `tests/test_dice_loss.py`:
+To run a particular test, for example `tests/losses/test_dice_loss.py`:
 ```
-python -m tests.test_dice_loss
+python -m tests.losses.test_dice_loss
 ```
 
 Before submitting a pull request, we recommend that all linting and unit tests
diff --git a/README.md b/README.md
index 5e006f5d64..8b8223e549 100644
--- a/README.md
+++ b/README.md
@@ -33,6 +33,15 @@ Its ambitions are as follows:
 - customizable design for varying user expertise;
 - multi-GPU multi-node data parallelism support.
 
+## Requirements
+
+MONAI works with the [currently supported versions of Python](https://devguide.python.org/versions), and depends directly on NumPy and PyTorch with many optional dependencies.
+
+* Major releases of MONAI will have dependency versions stated for them. The current state of the `dev` branch in this repository is the unreleased development version of MONAI which typically will support current versions of dependencies and include updates and bug fixes to do so.
+* PyTorch support covers [the current version](https://github.com/pytorch/pytorch/releases) plus three previous minor versions. If compatibility issues with a PyTorch version and other dependencies arise, support for a version may be delayed until a major release.
+* Our support policy for other dependencies adheres for the most part to [SPEC0](https://scientific-python.org/specs/spec-0000), where dependency versions are supported where possible for up to two years. Discovered vulnerabilities or defects may require certain versions to be explicitly not supported.
+* See the `requirements*.txt` files for dependency version information.
+
 ## Installation
 
 To install [the current release](https://pypi.org/project/monai/), you can simply run:
diff --git a/docs/source/installation.md b/docs/source/installation.md
index 4308a07647..b8befc10b4 100644
--- a/docs/source/installation.md
+++ b/docs/source/installation.md
@@ -58,10 +58,10 @@ pip install monai-weekly
 ```
 
 The weekly build is released to PyPI every Sunday with a pre-release build number `dev[%y%U]`.
-To report any issues on the weekly preview, please include the version and commit information:
+To report any issues on the weekly preview, please include the version information:
 
 ```bash
-python -c "import monai; print(monai.__version__); print(monai.__commit_id__)"
+python -c "import monai; print(monai.__version__)"
 ```
 
 Coexistence of package `monai` and `monai-weekly` in a system may cause namespace conflicts
@@ -101,20 +101,20 @@ for the latest features:
 ### Option 1 (as a part of your system-wide module):
 
 ```bash
-pip install git+https://github.com/Project-MONAI/MONAI#egg=monai
+pip install git+https://github.com/Project-MONAI/MONAI
 ```
 
 or, to build with MONAI C++/CUDA extensions:
 
 ```bash
-BUILD_MONAI=1 pip install git+https://github.com/Project-MONAI/MONAI#egg=monai
+BUILD_MONAI=1 pip install git+https://github.com/Project-MONAI/MONAI
 ```
 
 To build the extensions, if the system environment already has a version of Pytorch installed,
 `--no-build-isolation` might be preferred:
 
 ```bash
-BUILD_MONAI=1 pip install --no-build-isolation git+https://github.com/Project-MONAI/MONAI#egg=monai
+BUILD_MONAI=1 pip install --no-build-isolation git+https://github.com/Project-MONAI/MONAI
 ```
 
 this command will download and install the current `dev` branch of [MONAI from