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chore(docs): Update dead links and v2 information #1325

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Aug 15, 2023
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chore(docs): Update dead links and v2 information #1325

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Update dead links and v2 information
Tomcli Aug 15, 2023
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Update README.md
Tomcli Aug 15, 2023
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -7,8 +7,9 @@ according to this [design doc](http://bit.ly/kfp-tekton). The current code allow
YAML.
* Upload the compiled Tekton YAML to KFP engine (API and UI), and run end to end
with logging and artifacts tracking enabled.
* In KFP-Tekton V2, the SDK compiler will generate the same intermediate representation as in the main Kubeflow pipelines SDK. All the Tekton related implementations are all embedded into the V2 backend API service.

For more details about the project please follow this detailed [blog post](https://developer.ibm.com/blogs/kubeflow-pipelines-with-tekton-and-watson/). For latest information and supported offerings, please follow the [Kubeflow Pipelines on Tekton 1.0 release blog](https://developer.ibm.com/blogs/kubeflow-pipelines-and-tekton-advances-data-workloads/). Additionally, look at these [slides](https://www.slideshare.net/AnimeshSingh/kubeflow-pipelines-with-tekton-236769976) as well as this [deep dive presentation](https://www.youtube.com/watch?v=AYIeNtXLT_k) for demos.
For more details about the project please follow this detailed [blog post](https://developer.ibm.com/blogs/kubeflow-pipelines-and-tekton-advances-data-workloads/). For latest KFP-Tekton V2 implementation and [supported offerings](https://developer.ibm.com/articles/advance-machine-learning-workflows-with-ibm-watson-pipelines/), please follow our latest [OSS Talk](https://www.youtube.com/watch?v=KQOee-XZtvc&list=PLbzoR-pLrL6pzNRLzcLZ33fFxcyITtMWn&index=4). For information on the KFP-Tekton V1 implementation, look at these [slides](https://www.slideshare.net/AnimeshSingh/kubeflow-pipelines-with-tekton-236769976) as well as this [deep dive presentation](https://www.youtube.com/watch?v=AYIeNtXLT_k) for demos.

**Note**: If you are interested in a sister project built on top of Kubeflow Pipelines with Tekton, please try [Machine Learning eXchange (MLX)](https://github.com/machine-learning-exchange), Data and AI Assets Catalog and Execution Engine. It introduces a 'Component Registry' for Kubeflow Pipelines, amongst other things.

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