docs: update index, debugging, and guide links for new get-started structure

Author: lbliii

docs/debugging.md

@@ -9,7 +9,7 @@ Since Ray programs can spawn multiple workers and actors, using the Ray Distribu
 ### Prerequisites
 
 * Install the [Ray Debugger VS Code/Cursor extension](https://docs.ray.io/en/latest/ray-observability/ray-distributed-debugger.html).
-* Launch the [interactive cluster](./cluster.md#interactive-launching) with `ray.sub`.
+* Launch the [interactive cluster](get-started/cluster.md#2-submit-a-job) with `ray.sub`.
 * Launch VS Code/Cursor on the SLURM login node (where `squeue`/`sbatch` is available).
 * Add `breakpoint()` in your code under actors & tasks (i.e. classes or functions decorated with `@ray.remote`).
 * **Ensure** `RAY_DEBUG=legacy` is not set since this debugging requires the default distributed debugger.

docs/guides/dpo.md

@@ -6,7 +6,7 @@ to increase the probability of the chosen response and decrease the probability
 
 ## Launch a DPO Run
 
-The script [examples/run_dpo.py](../../examples/run_dpo.py) can be used to launch a DPO experiment. This script can either be launched locally or via Slurm. For details on how to set up Ray and launch a job using Slurm, refer to the [cluster documentation](../cluster.md).
+The script [examples/run_dpo.py](../../examples/run_dpo.py) can be used to launch a DPO experiment. This script can either be launched locally or via Slurm. For details on how to set up Ray and launch a job using Slurm, refer to the [cluster documentation](../get-started/cluster.md).
 
 Be sure to launch the job using `uv`. The command to launch a DPO job is as follows:
 ```bash

docs/guides/grpo.md

@@ -4,7 +4,7 @@ This guide details the Group Relative Policy Optimization (GRPO) implementation
 
 ## Quickstart: Launch a GRPO Run
 
-To get started quickly, use the script [examples/run_grpo_math.py](../../examples/run_grpo_math.py), which demonstrates how to train a model on math problems using GRPO. You can launch this script locally or via Slurm. For detailed instructions on setting up Ray and launching a job with Slurm, refer to the [cluster documentation](../cluster.md).
+To get started quickly, use the script [examples/run_grpo_math.py](../../examples/run_grpo_math.py), which demonstrates how to train a model on math problems using GRPO. You can launch this script locally or via Slurm. For detailed instructions on setting up Ray and launching a job with Slurm, refer to the [cluster documentation](../get-started/cluster.md).
 
 We recommend launching the job using `uv`:
 

docs/guides/rm.md

@@ -4,7 +4,7 @@ This document explains how to train reward models (RM) within NeMo RL. Currently
 
 ## Launch a Training Job
 
-The script, [examples/run_rm.py](../../examples/run_rm.py), is used to train a Bradley-Terry reward model. This script can be launched either locally or via Slurm. For details on how to set up Ray and launch a job using Slurm, refer to the [cluster documentation](../cluster.md).
+The script, [examples/run_rm.py](../../examples/run_rm.py), is used to train a Bradley-Terry reward model. This script can be launched either locally or via Slurm. For details on how to set up Ray and launch a job using Slurm, refer to the [cluster documentation](../get-started/cluster.md).
 
 Be sure to launch the job using `uv`. The command to launch a training job is as follows:
 

docs/guides/sft.md

@@ -4,7 +4,7 @@ This document explains how to perform SFT within NeMo RL. It outlines key operat
 
 ## Launch an SFT Run
 
-The script, [examples/run_sft.py](../../examples/run_sft.py), can be used to launch an experiment. This script can be launched either locally or via Slurm. For details on how to set up Ray and launch a job using Slurm, refer to the [cluster documentation](../cluster.md).
+The script, [examples/run_sft.py](../../examples/run_sft.py), can be used to launch an experiment. This script can be launched either locally or via Slurm. For details on how to set up Ray and launch a job using Slurm, refer to the [cluster documentation](../get-started/cluster.md).
 
 Be sure to launch the job using `uv`. The command to launch an SFT job is as follows: