Added new Post-training an LLM using GRPO with TRL recipe 🧑‍🍳️

notebooks/en/_toctree.yml

@@ -72,7 +72,9 @@
           title: Phoenix Observability Dashboard on HF Spaces
         - local: search_and_learn
           title: Scaling Test-Time Compute for Longer Thinking in LLMs
-
+        - local: fine_tuning_llm_grpo_trl
+          title: Post-training an LLM using GRPO with TRL
+
     - title: Computer Vision Recipes
       isExpanded: false
       sections:

notebooks/en/index.md

@@ -7,11 +7,12 @@ applications and solving various machine learning tasks using open-source tools
 
 Check out the recently added notebooks:
 
+- [Post-training an LLM using GRPO with TRL](fine_tuning_llm_grpo_trl)
 - [Vector Search on Hugging Face with the Hub as Backend](vector_search_with_hub_as_backend)
 - [Multi-Agent Order Management System with MongoDB](mongodb_smolagents_multi_micro_agents)
 - [Scaling Test-Time Compute for Longer Thinking in LLMs](search_and_learn)
 - [Signature-Aware Model Serving from MLflow with Ray Serve](mlflow_ray_serve)
-- [Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU](fine_tuning_vlm_dpo_smolvlm_instruct)
+
 
 You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).