Course curriculum

    1. Introduction

    2. Learning Objectives

    1. Introduction

    2. How Do Machines See?

    3. How Do Machines Read?

    4. Quiz

    1. Introduction

    2. Tokenization

    3. Activity – Decode your words

    4. Embeddings

    5. Tokens Vs. Embeddings

    6. Vector Databases

    7. What Are Large Language Models?

    8. Prompt Engineering

    9. Quiz

    1. Customizing LLMs

    2. Training Models from Scratch

    3. In-Context Learning

    4. Fine-Tuning Models

    5. Retrieval-Augmented Generation

    6. Quiz

    1. Graded Quiz

    1. Slide Deck – Understanding the LLM Landscape

    2. Slide Deck – Key Challenges in Adoption of LLMs

    3. Reference Materials

About this course

  • $100.00
  • 26 lessons
  • 0 hours of video content

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