Add notebook for "Evaluating AI Search Engines with the judges Library"

notebooks/en/_toctree.yml

@@ -32,6 +32,8 @@
           title: RAG Evaluation
         - local: llm_judge
           title: Using LLM-as-a-judge for an automated and versatile evaluation
+        - local: llm_judge_evaluating_ai_search_engines_with_judges_library
+          title: Evaluating AI Search Engines with `judges` - the open-source library for LLM-as-a-judge evaluators
         - local: issues_in_text_dataset
           title: Detecting Issues in a Text Dataset with Cleanlab
         - local: annotate_text_data_transformers_via_active_learning

notebooks/en/index.md

@@ -12,6 +12,7 @@ Check out the recently added notebooks:
 - [Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU](fine_tuning_vlm_dpo_smolvlm_instruct)
 - [Smol Multimodal RAG: Building with ColSmolVLM and SmolVLM on Colab's Free-Tier GPU](multimodal_rag_using_document_retrieval_and_smol_vlm)
 - [Fine-tuning SmolVLM with TRL on a consumer GPU](fine_tuning_smol_vlm_sft_trl)
+- [Evaluating AI Search Engines with `judges` - the open-source library for LLM-as-a-judge evaluators](llm_judge_evaluating_ai_search_engines_with_judges_library)
 
 
 You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).