Course curriculum

    1. Introduction

    2. Learning Objectives

    1. The Rationale and Impact of Fine-Tuning

    2. Transfer Learning

    3. Fine-Tuning

    4. Quiz: Introduction to Fine-Tuning

    1. Importance of Data

    2. Full Fine-Tuning

    3. Quiz: Data and Techniques in LLM Fine-Tuning

    1. Principal Components Analysis

    2. Practice - PCA Visualization Using Plotly

    3. Practice - PCA on the Iris Dataset

    4. Practice - Image Compression Using PCA

    5. Low-Rank Adaptation (LoRA)

    6. Quantization

    7. Llama 2 Quantization

    8. QLoRA

    9. Quiz: Advanced Optimization Techniques

    1. Key Challenges in Fine-Tuning

    2. Best Practices for Fine-Tuning

    3. SFT vs. RL

    4. Quiz: Challenges and Advanced Strategies

    1. Fine-Tuning

About this course

  • Free
  • 29 lessons
  • 2 hours of video content

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