RAG Evaluation
Measure and improve RAG quality — faithfulness, relevance, context precision.
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After this skill you can…
- Run RAGAS evaluation on a RAG pipeline
- Interpret faithfulness and answer relevance scores
- A/B test chunking strategies
Prerequisites
Watch (10 videos)
[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search)
→ Develop reliable evaluation metrics→ Optimize LLM performance
Build a RAG Evaluation Tool and Python Library
→ Build a RAG evaluation tool→ Implement evaluation metrics→ Create a Python library
GenAI Interview Questions: LLM Evaluation Pipeline in Production #generativeai
→ Deploy LLM evaluation pipelines to production→ Implement evaluation metrics for GenAI applications
Your mental model for AI testing: evals, LLM judges, and test layering
→ Evaluate AI models using LLM judges and test layering→ Optimize AI app development with AI testing
[VOD] First Look At Claude 3 - Can It Beat GPT-4?
→ Compare LLMs using evaluation metrics→ Analyze AI model performance
Advanced LLM Evaluation Techniques: Chapter 22
→ Evaluate LLM model performance→ Implement advanced evaluation techniques
How to evaluate your Gen AI models with Vertex AI
→ Evaluate Gen AI models with Vertex AI→ Scale RAG models for reliable results
Evaluate your AI with Stax
→ Evaluate AI with Stax→ Build data-driven AI evaluations
LangChain "RAG Evaluation" Webinar
→ Assess RAG model performance→ Compare RAG evaluation metrics
How to examine chance prediction of a machine learning model (Y-Scrambling / Y-Permutation)
→ Evaluate machine learning models using Y-Scrambling→ Detect chance prediction in models
DeepCamp AI