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Starts 5 June 2025 18:08

Ends 5 June 2025

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Prompt Engineering Vs RAG Vs Finetuning Explained Easily

Understand the key differences between prompt engineering, RAG, and fine-tuning techniques for enhancing large language models, with clear explanations of their applications, benefits, and resource requirements.
Krish Naik via YouTube

Krish Naik

2463 Courses


18 minutes

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Overview

Understand the key differences between prompt engineering, RAG, and fine-tuning techniques for enhancing large language models, with clear explanations of their applications, benefits, and resource requirements.

Syllabus

  • Introduction
  • Overview of Large Language Models (LLMs)
    Importance of Optimization Techniques
    Course Objectives
  • Prompt Engineering
  • Definition and Overview
    Applications
    Benefits
    Limitations
    Resource Requirements
  • Retrieval-Augmented Generation (RAG)
  • Definition and Overview
    Applications
    Benefits
    Limitations
    Resource Requirements
  • Fine-tuning
  • Definition and Overview
    Applications
    Benefits
    Limitations
    Resource Requirements
  • Comparative Analysis
  • Key Differences
    Strengths and Weaknesses
    Situational Use Cases
  • Conclusion
  • Summary of Concepts
    When to Use Each Technique
    Future Trends in AI Model Optimization
  • Additional Resources
  • Recommended Readings
    Online Tools and Platforms
    Community and Support Networks

Subjects

Computer Science