Merge pull request #1131 from AI-Hypercomputer:fix_readme_link

PiperOrigin-RevId: 710692777

.github/workflows/AddLabel.yml

@@ -16,7 +16,7 @@ name: Add Label
 
 on:
   workflow_run:
-    workflows: [Unit Test, CodeQL]
+    workflows: [Tests, CodeQL]
     types:
       - completed
   pull_request_review:

README.md

@@ -15,7 +15,7 @@
  -->
 
 
-[![Unit Tests](https://github.com/google/maxtext/actions/workflows/UnitTests.yml/badge.svg)](https://github.com/google/maxtext/actions/workflows/UnitTests.yml)
+[![Unit Tests](https://github.com/google/maxtext/actions/workflows/RunTests.yml/badge.svg)](https://github.com/google/maxtext/actions/workflows/RunTests.yml)
 
 # Overview
 
@@ -49,7 +49,7 @@ Some extra helpful guides:
 * [Llama2](https://llama.meta.com/llama2/): a family of open-weights Large Language Model (LLM) by Meta. You can run decode and finetuning using [these instructions](getting_started/Run_Llama2.md).
 * [Mixtral](https://mistral.ai/news/mixtral-of-experts/): a family of open-weights sparse mixture-of-experts (MoE) model by Mistral AI. You can run decode and finetuning using [these instructions](end_to_end/tpu/mixtral/Run_Mixtral.md)
 
-In addition to the getting started guides, there are always other MaxText capabilities that are being constantly being added! The full suite of end-to-end tests is in [end_to_end](end_to_end). We run them with a nightly cadence. They can be a good source for understanding MaxText Alternatively you can see the continuous [unit tests](.github/workflows/UnitTests.yml) which are run almost continuously.
+In addition to the getting started guides, there are always other MaxText capabilities that are being constantly being added! The full suite of end-to-end tests is in [end_to_end](end_to_end). We run them with a nightly cadence. They can be a good source for understanding MaxText Alternatively you can see the continuous [unit tests](.github/workflows/RunTests.yml) which are run almost continuously.
 
 # Runtime Performance Results