Citation + Contributor acknowledgment section (#207)

* cite

* nits

* nits

* comment

ACKNOWLEDGMENTS.md

@@ -1,3 +1,15 @@
+# Individual Contributors
+
+If you wish to be acknowledged for your contributions, please list your name
+with a short description of your contribution(s) below. For example:
+
+- Jane Smith: Added the `foo` and `bar` ops.
+
+MLX was developed with contributions from the following individuals:
+  
+
+# Third-Party Software
+
 MLX leverages several third-party software, listed here together with
 their license copied verbatim.
 

README.md

@@ -79,11 +79,28 @@ for more information on building the C++ and Python APIs from source.
 ## Contributing 
 
 Check out the [contribution guidelines](CONTRIBUTING.md) for more information
-on contributing to MLX.
+on contributing to MLX. See the
+[docs](https://ml-explore.github.io/mlx/build/html/install.html) for more
+information on building from source, and running tests.
 
-Optional: Generate stubs for C++ python objects to enable IDE auto-completion
+We are grateful for all of [our
+contributors](ACKNOWLEDGMENTS.md#Individual-Contributors). If you contribute
+to MLX and wish to be acknowledged, please add your name to to the list in your
+pull request.
+
+## Citing MLX
+
+The MLX software suite was initially developed with equal contribution by Awni
+Hannun, Jagrit Digani, Angelos Katharopoulos, and Ronan Collobert. If you find
+MLX useful in your research and wish to cite it, please use the following
+BibTex entry:
 
-```shell
-pip install ".[dev]"
-python setup.py generate_stubs
+```
+@software{mlx2023,
+  author = {Awni Hannun and Jagrit Digani and Angelos Katharopoulos and Ronan Collobert},
+  title = {{MLX}: Efficient and flexible machine learning on Apple silicon},
+  url = {https://github.com/ml-explore},
+  version = {0.0},
+  year = {2023},
+}
 ```