Course curriculum

    1. Overview

    2. Introduction

    3. Context

    4. Why This Matters?

    5. Learning Objectives

    1. Rationale for LLM and Agent Evaluation

    2. Components of LLM Evaluation

    3. Tasks and Benchmark Datasets for Evaluation

    4. Challenges in LLM Evaluation

    5. LLM-As-A-Judge Evaluation

    1. Introduction

    2. Classic and Contextual Embedding Approaches

    3. Evaluation Using BLEU

    4. Evaluation Using ROUGE

    5. Evaluation Using METEOR

    6. Evaluation Using BERTScore

    7. Evaluating RAG-Based Applications

    8. Practice - Evaluation Using RAGAs

    9. Faithfulness

    10. Answer Relevancy

    11. Context Precision

    12. Context Recall

    1. Course Summary

About this course

  • Free
  • 23 lessons
  • 0 hours of video content

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