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Add notebook for "Evaluating AI Search Engines with the judges Library" #270

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merged 12 commits into from
Jan 31, 2025
2 changes: 2 additions & 0 deletions notebooks/en/_toctree.yml
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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
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1 change: 1 addition & 0 deletions notebooks/en/index.md
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Expand Up @@ -7,6 +7,7 @@ applications and solving various machine learning tasks using open-source tools

Check out the recently added notebooks:

- [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)
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I'd put this notebook at the top of the list since it's the most recent, and then remove "Fine-tuning SmolVLM with TRL on a consumer GPU" to keep the list tidy

- [Structured Generation from Images or Documents Using Vision Language Models](structured_generation_vision_language_models)
- [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)
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