fix(MLOPS): Fixed link

src/content/docs/mlops/get-started/intro-mlops.mdx

@@ -34,9 +34,9 @@ To use MLOps within New Relic's [Applied Intelligence](/docs/alerts-applied-inte
 	*  [Superwise](/docs/alerts-applied-intelligence/mlops/integrations/superwise-mlops-integration/)
 	*  [TruEra](/docs/alerts-applied-intelligence/mlops/integrations/truera-mlops-integration/)
 
-2. **Integrations:** New Relic has also partnered with Amazon SageMaker, giving you a view of performance metrics, and expanding access to observability for ML engineers and data science teams. With Amazon SageMaker it's easier to develop, test, and monitor ML models in production by breaking down the silos between AI/ML, DevOps and site reliability engineers (SREs).Read [more on our Amazon SageMaker integration](https://docs.newrelic.com/docs/mlops/integrations/aws-sagemaker-mlops-integration/).
+2. **Integrations:** New Relic has also partnered with Amazon SageMaker, giving you a view of performance metrics, and expanding access to observability for ML engineers and data science teams. With Amazon SageMaker it's easier to develop, test, and monitor ML models in production by breaking down the silos between AI/ML, DevOps and site reliability engineers (SREs).Read [more on our Amazon SageMaker integration](/docs/mlops/integrations/aws-sagemaker-mlops-integration/).
 
-3. **Bring your own data (BYO):** If you don’t want to sign up for another license, or if you don’t use Amazon SageMaker, you can easily bring your own ML model telemetry into **[New Relic One](https://one.newrelic.com)** and start getting value from your ML model data. In just a few minutes, you can get feature distribution, statistics data, and prediction distribution. Read [more on BYO in our docs](/docs/alerts-applied-intelligence/mlops/bring-your-own/mlops-byo). 
+3. **Bring your own data (BYO):** If you don't want to sign up for another license, or if you don’t use Amazon SageMaker, you can easily bring your own ML model telemetry into **[New Relic One](https://one.newrelic.com)** and start getting value from your ML model data. In just a few minutes, you can get feature distribution, statistics data, and prediction distribution. Read [more on BYO in our docs](/docs/alerts-applied-intelligence/mlops/bring-your-own/mlops-byo). 
 
 To start measuring machine learning model performance in minutes using either one of these options, check out the MLOps integrations quickstarts, and click on [Machine learning ops](https://developer.newrelic.com/instant-observability/?category=machine-learning-ops).