Learn Generative AI and Large Language Models

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Tutorial Overview

Large Language Models

This hands-on tutorial serves as a comprehensive introduction to Large Language Models (LLMs), covering a spectrum of topics from their differentiation from other language models to their underlying architecture and practical applications. It delves into the technical aspects, such as the transformer architecture and the attention mechanism, which are the cornerstones of modern language models. 

The tutorial also explores the applications of LLMs, focusing on zero-shot learning, few-shot learning, and fine-tuning, which showcase the models' ability to adapt and perform tasks with limited to no examples. Furthermore, it introduces the concept of flow chaining as a method to generate coherent and extended text, demonstrating its usefulness in tackling token limitations in real-world scenarios such as Q&A bots. Through practical examples and code snippets, participants are given a hands-on experience on how to utilize and harness the power of LLMs across various domains.

Topics Covered Include:

  • Introduction to Large Language Models (LLMs)
  • Why Are LLMs So Powerful 
  • The Transformer Architecture
  • The Application of LLMs
  • Flow Chaining 

Meet your instructor

Senior Machine Learning Engineer / Data Science Consultant

Mary Grace Moesta

Mary Grace Moesta is a senior data science consultant at Databricks. She's been working in the big data and data science space for several years with opportunities to collaborate across several verticals, with the majority of her work focused in the Retail and CPG space. Prior to Databricks, Mary Grace was able to contribute to several machine learning applications, namely - personalization use cases, forecasting, recommendation engines, and customer experience measures.

Course Curriculum

  • 1

    Welcome to the Tutorial!

    • Welcome to the Tutorial!

    • What You'll Learn in This Tutorial

    • How to use this Tutorial

    • Tutorial Prerequisites

  • 2

    LLM Basics Part I: Introduction to Large Language Models

    • How do LLMs Differ from Language Models?

    • Why LLMs are so powerful

    • The transformer Architecture

    • The application of LLMs

    • Flow Chaining

    • Lesson Notebook: LLM Basics Part I

    • LLM Basics

CODE TO LEARN

A Hands-on Tutorial

This hands-on tutorial goes beyond the basics, offering you an interactive Coding Notebook crucial to your educational journey. It immerses you in an engaging process of writing, generating, and executing code, enabling a comprehensive exploration of the tutorial's core concepts through practical coding exercises. By applying these concepts in real time, you'll witness the immediate impact of your coding choices. This hands-on approach is not just about learning to code; it's about coding to learn, solidifying your understanding as you seamlessly generate and execute code.

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