Spelling corrections to MLP tutorials

Author: lukasgd

docs/access/jupyterlab.md

@@ -199,7 +199,7 @@ Examples of notebooks with `ipcmagic` can be found [here](https://github.com/
 
 While it is generally recommended to submit long-running machine learning training and inference jobs via `sbatch`, certain use cases can benefit from an interactive Jupyter environment.
 
-A popular approach to run multi-GPU ML workloads is with [`accelerate`](https://github.com/huggingface/accelerate) and [`torchrun`](https://docs.pytorch.org/docs/stable/elastic/run.html) as demonstrated in the [tutorials][ref-guides-mlp-tutorials]. In particular, the `accelerate launch` script in the [LLM fine-tuning tutorial][ref-mlp-llm-finetuning-tutorial] can be directly carried over to a Jupyter cell with a `%%bash` header (to run its contents interpreted by bash). For `torchrun`, one can adapt the command from the multi-node [nanotron tutorial][ref-mlp-llm-nanotron-tutorial] to run on a single GH200 node using the following line in a Jupyter cell
+A popular approach to run multi-GPU ML workloads is with [`accelerate`](https://github.com/huggingface/accelerate) and [`torchrun`](https://docs.pytorch.org/docs/stable/elastic/run.html) as demonstrated in the [tutorials][ref-guides-mlp-tutorials]. In particular, the `accelerate launch` script in the [LLM fine-tuning tutorial][ref-mlp-llm-fine-tuning-tutorial] can be directly carried over to a Jupyter cell with a `%%bash` header (to run its contents interpreted by bash). For `torchrun`, one can adapt the command from the multi-node [nanotron tutorial][ref-mlp-llm-nanotron-tutorial] to run on a single GH200 node using the following line in a Jupyter cell
 
 ```bash
 !python -m torch.distributed.run --standalone --nproc_per_node=4 run_train.py ...

docs/guides/mlp_tutorials/index.md

@@ -4,7 +4,7 @@
 These tutorials solve simple MLP tasks using the [Container Engine][ref-container-engine] on the ML Platform.
 
 1. [LLM Inference][ref-mlp-llm-inference-tutorial]
-2. [LLM Finetuning][ref-mlp-llm-finetuning-tutorial]
+2. [LLM Fine-tuning][ref-mlp-llm-fine-tuning-tutorial]
 3. [Nanotron Training][ref-mlp-llm-nanotron-tutorial]
 
 

docs/guides/mlp_tutorials/llm-finetuning.md renamed to docs/guides/mlp_tutorials/llm-fine-tuning.md

@@ -1,8 +1,8 @@
-[](){#ref-mlp-llm-finetuning-tutorial}
+[](){#ref-mlp-llm-fine-tuning-tutorial}
 
-# LLM Finetuning Tutorial
+# LLM Fine-tuning Tutorial
 
-This tutorial will take the model from the [LLM Inference][ref-mlp-llm-inference-tutorial] tutorial and show you how to perform finetuning.
+This tutorial will take the model from the [LLM Inference][ref-mlp-llm-inference-tutorial] tutorial and show you how to perform fine-tuning.
 This means that we take the model and train it on some new custom data to change its behavior.
 
 To complete the tutorial, we set up some extra libraries that will help us to update the state of the machine learning model.

docs/guides/mlp_tutorials/llm-nanotron-training.md

@@ -5,9 +5,9 @@
 In this tutorial, we will build a container image to run nanotron training jobs.
 We will train a 109M parameter model with ~100M wikitext tokens as a proof of concept.
 
-### Prequisites 
+### Prerequisites 
 
-It is also recommended to follow the previous tutorials: [LLM Inference][ref-mlp-llm-inference-tutorial] and [LLM Finetuning][ref-mlp-llm-finetuning-tutorial], as this will build up from it.
+It is also recommended to follow the previous tutorials: [LLM Inference][ref-mlp-llm-inference-tutorial] and [LLM Fine-tuning][ref-mlp-llm-fine-tuning-tutorial], as this will build up from it.
 
 ### Set up Podman
 

docs/platforms/mlp/index.md

@@ -91,4 +91,4 @@ Project is per project - each project gets a project folder with project-specifi
 
 ## Guides and tutorials
 
-Tutorials for finetuning and running inference of LLMs as well as training an LLM with Nanotron can be found in the [MLP Tutorials][ref-guides-mlp-tutorials] page.
+Tutorials for fine-tuning and running inference of LLMs as well as training an LLM with Nanotron can be found in the [MLP Tutorials][ref-guides-mlp-tutorials] page.

mkdocs.yml

@@ -116,7 +116,7 @@ nav:
     - 'MLP Tutorials':
       - guides/mlp_tutorials/index.md
       - 'LLM Inference': guides/mlp_tutorials/llm-inference.md
-      - 'LLM Finetuning': guides/mlp_tutorials/llm-finetuning.md
+      - 'LLM Fine-tuning': guides/mlp_tutorials/llm-fine-tuning.md
       - 'LLM Training': guides/mlp_tutorials/llm-nanotron-training.md
   - 'Policies':
     - policies/index.md