Correct TM&B (#329)

Signed-off-by: tylertitsworth <tyler.titsworth@intel.com>

Author: Tyler Titsworth

CONTRIBUTING.md

@@ -1,6 +1,6 @@
 # Contributing
 
-Thank you for considering contributing to Intel® AI Containers! We welcome your help to make this project better. Contributing to an open source project can be a daunting task, but the Intel AI Containers team is here to help you through the process. If at any point in this process you feel out of your depth or confused by our processes, please don't hesitate to reach out to a maintainer or file an [issue](https://github.com/intel/ai-containers/issues).
+Thank you for considering contributing to AI Containers! We welcome your help to make this project better. Contributing to an open source project can be a daunting task, but the Intel AI Containers team is here to help you through the process. If at any point in this process you feel out of your depth or confused by our processes, please don't hesitate to reach out to a maintainer or file an [issue](https://github.com/intel/ai-containers/issues).
 
 ## Getting Started
 
@@ -138,4 +138,4 @@ commit automatically with `git commit -s`.
 
 ## License
 
-Intel® AI Containers is licensed under the terms in [LICENSE](./LICENSE). By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.
+AI Containers is licensed under the terms in [LICENSE](./LICENSE). By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

README.md

@@ -1,4 +1,4 @@
-# Intel® AI Containers
+# AI Containers
 
 [![OpenSSF Best Practices](https://www.bestpractices.dev/projects/8270/badge)](https://www.bestpractices.dev/projects/8270)
 [![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/intel/ai-containers/badge)](https://securityscorecards.dev/viewer/?uri=github.com/intel/ai-containers)
@@ -28,7 +28,7 @@ docker login $REGISTRY
 docker pull $REGISTRY/$REPO:latest
 ```
 
-The maintainers of Intel® AI Containers use Azure to store containers, but an open source container registry like [harbor](https://github.com/goharbor/harbor) is preferred.
+The maintainers of AI Containers use Azure to store containers, but an open source container registry like [harbor](https://github.com/goharbor/harbor) is preferred.
 
 > [!WARNING]
 > You can optionally skip this step and use some placeholder values, however some container groups depend on other images and will pull from a registry that you have not defined and result in an error.

classical-ml/README.md

@@ -63,7 +63,7 @@ The images below additionally include [Jupyter Notebook](https://jupyter.org/) s
 
 ## Build from Source
 
-To build the images from source, clone the [Intel® AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
+To build the images from source, clone the [AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
 
 ```bash
 cd classical-ml

mkdocs.yml

@@ -51,7 +51,7 @@ plugins:
     - read_csv
 repo_name: intel/ai-containers
 repo_url: https://github.com/intel/ai-containers
-site_name: Intel® AI Containers
+site_name: AI Containers
 #TODO: Get previous container versions in an easy way
 # https://squidfunk.github.io/mkdocs-material/setup/setting-up-versioning/
 theme:

python/README.md

@@ -15,7 +15,7 @@ The images below include variations for only the core packages in the [Intel® D
 
 ## Build from Source
 
-To build the images from source, clone the [Intel® AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
+To build the images from source, clone the [AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
 
 ```bash
 cd python

pytorch/README.md

@@ -241,8 +241,6 @@ Additionally, if you have a [DeepSpeed* configuration](https://www.deepspeed.ai/
 
 ---
 
-#### Hugging Face Generative AI Container
-
 The image below is an extension of the IPEX Multi-Node Container designed to run Hugging Face Generative AI scripts. The container has the typical installations needed to run and fine tune PyTorch generative text models from Hugging Face. It can be used to run multinode jobs using the same instructions from the [IPEX Multi-Node container](#setup-and-run-ipex-multi-node-container).
 
 | Tag(s)                                | Pytorch  | IPEX         | oneCCL               | HF Transformers | Dockerfile      |
@@ -324,7 +322,7 @@ The images below additionally include [Jupyter Notebook](https://jupyter.org/) s
 
 ## Build from Source
 
-To build the images from source, clone the [Intel® AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
+To build the images from source, clone the [AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
 
 ```bash
 cd pytorch

pytorch/serving/README.md

@@ -155,7 +155,7 @@ As demonstrated in the above example, models must be registered before they can
 
 ### KServe
 
-Apply Intel Optimizations to KServe by patching the serving runtimes to use Intel Optimized Serving Containers with `kubectl apply -f patch.yaml`
+Apply Intel Optimizations to KServe by patching the serving runtimes to use Serving Containers with Intel Optimizations via `kubectl apply -f patch.yaml`
 
 > [!NOTE]
 > You can modify this `patch.yaml` file to change the serving runtime pod configuration.

tensorflow/README.md

@@ -286,7 +286,7 @@ The images below additionally include [Jupyter Notebook](https://jupyter.org/) s
 
 ## Build from Source
 
-To build the images from source, clone the [Intel® AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
+To build the images from source, clone the [AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
 
 ```bash
 cd pytorch

workflows/README.md

@@ -1,6 +1,6 @@
 # Intel® AI Workflows
 
-Demonstrating showing how the [Intel® AI Containers] can be used for different use cases:
+Demonstrating showing how the [AI Containers] can be used for different use cases:
 
 ## PyTorch Workflows
 
@@ -11,7 +11,7 @@ Demonstrating showing how the [Intel® AI Containers] can be used for different
 
 ## Build from Source
 
-To build the images from source, clone the [Intel® AI Containers] repository, follow the main `README.md` file to setup your environment, and run the following command:
+To build the images from source, clone the [AI Containers] repository, follow the main `README.md` file to setup your environment, and run the following command:
 
 ```bash
 cd workflows/charts/huggingface-llm
@@ -21,7 +21,7 @@ docker compose run huggingface-llm sh -c "python /workspace/scripts/finetune.py
 
 ## License
 
-View the [License](https://github.com/intel/ai-containers/blob/main/LICENSE) for the [Intel® AI Containers].
+View the [License](https://github.com/intel/ai-containers/blob/main/LICENSE) for the [AI Containers].
 
 The images below also contain other software which may be under other licenses (such as Pytorch*, Jupyter*, Bash, etc. from the base).
 
@@ -31,6 +31,6 @@ It is the image user's responsibility to ensure that any use of The images below
 
 <!--Below are links used in these document. They are not rendered: -->
 
-[Intel® AI Containers]: https://github.com/intel/ai-containers
+[AI Containers]: https://github.com/intel/ai-containers
 [Distributed LLM Fine Tuning with Kubernetes]: https://github.com/intel/ai-containers/tree/main/workflows/charts/huggingface-llm
 [TorchServe* with Kubernetes]: https://github.com/intel/ai-containers/tree/main/workflows/charts/torchserve

workflows/charts/huggingface-llm/README.md

@@ -347,4 +347,4 @@ fine tune the model.
 ```
 
 ----------------------------------------------
-Autogenerated from chart metadata using [helm-docs v1.13.1](https://github.com/norwoodj/helm-docs/releases/v1.13.1)
+Autogenerated from chart metadata using [helm-docs v1.14.2](https://github.com/norwoodj/helm-docs/releases/v1.14.2)

workflows/charts/torchserve/Chart.yaml

@@ -13,8 +13,8 @@
 # limitations under the License.
 
 apiVersion: v2
-name: intel-torchserve
-description: Intel TorchServe is a performant, flexible and easy to use tool for serving PyTorch models in production.
+name: torchserve-on-intel
+description: TorchServe on Intel is a performant, flexible and easy to use tool for serving PyTorch models in production.
 
 # A chart can be either an 'application' or a 'library' chart.
 #

workflows/charts/torchserve/README.md

@@ -1,8 +1,8 @@
-# Intel TorchServe
+# TorchServe with Intel Optimizations
 
-Intel TorchServe is a performant, flexible and easy to use tool for serving PyTorch models in production.
+TorchServe on Intel is a performant, flexible and easy to use tool for serving PyTorch models in production.
 
-For more information about how to use Intel Optimized TorchServe, check out the [container documentation](../../../pytorch/serving/README.md).
+For more information about how to use TorchServe with Intel Optimizations, check out the [container documentation](../../../pytorch/serving/README.md).
 
 ![Version: 0.1.0](https://img.shields.io/badge/Version-0.1.0-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) ![AppVersion: 1.16.0](https://img.shields.io/badge/AppVersion-1.16.0-informational?style=flat-square)
 
@@ -18,7 +18,7 @@ For more information about how to use Intel Optimized TorchServe, check out the
 | deploy.resources.limits | object | `{"cpu":"4000m","memory":"1Gi"}` | Maximum resources per pod |
 | deploy.resources.requests | object | `{"cpu":"1000m","memory":"512Mi"}` | Minimum resources per pod |
 | deploy.storage.nfs | object | `{"enabled":false,"path":"nil","readOnly":true,"server":"nil","subPath":"nil"}` | Network File System (NFS) storage for models |
-| deploy.tokens_disabled | bool | `false` | Set token authentication on or off. Checkout the latest [torchserve docs](https://github.com/pytorch/serve/blob/master/docs/token_authorization_api.md) for more details. |
+| deploy.tokens_disabled | bool | `true` | Set token authentication on or off. Checkout the latest [torchserve docs](https://github.com/pytorch/serve/blob/master/docs/token_authorization_api.md) for more details. |
 | fullnameOverride | string | `""` | Full qualified Domain Name |
 | nameOverride | string | `""` | Name of the serving service |
 | pvc.size | string | `"1Gi"` | Size of the storage |

workflows/charts/torchserve/README.md.gotmpl

@@ -1,8 +1,8 @@
-# Intel TorchServe
+# TorchServe with Intel Optimizations
 
 {{ template "chart.description" . }}
 
-For more information about how to use Intel Optimized TorchServe, check out the [container documentation](../../../pytorch/serving/README.md).
+For more information about how to use TorchServe with Intel Optimizations, check out the [container documentation](../../../pytorch/serving/README.md).
 
 {{ template "chart.versionBadge" . }}{{ template "chart.typeBadge" . }}{{ template "chart.appVersionBadge" . }}