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@@ -120,7 +120,7 @@ Explore more examples [here](examples/notebooks).
 
 ### Run your first data prep pipeline
 
-Now that you have run a single transform, the next step is to explore how to put these transforms together to run a data prep pipeline for an end to end use case like fine tuning model or building a RAG application. This [notebook](examples/notebooks/code/sample-notebook.ipynb) gives an example of how to build an end to end data prep pipeline for fine tuning for code LLMs. You can also explore how to build a RAG pipeline [here](examples/notebooks/rag).
+Now that you have run a single transform, the next step is to explore how to put these transforms together to run a data prep pipeline for an end to end use case like fine tuning model or building a RAG application. This [notebook](examples/notebooks/fine%20tuning/code/sample-notebook.ipynb) gives an example of how to build an end to end data prep pipeline for fine tuning for code LLMs. You can also explore how to build a RAG pipeline [here](examples/notebooks/rag).
 
 ### Current list of transforms 
 The matrix below shows the the combination of modules and supported runtimes. All the modules can be accessed [here](transforms) and can be combined to form data processing pipelines, as shown in the [examples](examples) folder.