Hands-on Data Science

Large Language Models: A Crash Course

Course Description:

In this extensive 2-day course, we uncover the promise and power of Large Language Models (LLMs). We’ll delve into how LLMs can transform government services, from automating administrative tasks to drafting policy documents. Each day provides comprehensive insights into LLM’s technology, uses, and ethical considerations, led by our world-class experts in AI. You’ll leave equipped with the skills to leverage these models to serve the public better.

 

Introduction to Large Language Models (LLMs): Understanding the basics of LLMs, their development, and their transformative potential in various sectors, including government.
Applications of LLMs in Government Services: Exploring practical uses of LLMs in automating administrative tasks, enhancing communication, and drafting policy documents.
Technical Deep Dive into LLM Functionality: Examining the inner workings of LLMs, including training processes, data requirements, and understanding model outputs.
Ethical Considerations and Responsible Use: Discussing the ethical implications of deploying LLMs, focusing on privacy, bias, and ensuring transparency in automated decision-making.
Implementing LLMs in Public Sector Projects: Strategies for integrating LLM technology into government services, including project planning, execution, and evaluation.

Syllabus:

  1. Introduction to Large Language Models (LLMs): Understanding the basics of LLMs, their development, and their transformative potential in various sectors, including government.
  2. Applications of LLMs in Government Services: Exploring practical uses of LLMs in automating administrative tasks, enhancing communication, and drafting policy documents.
  3. Technical Deep Dive into LLM Functionality: Examining the inner workings of LLMs, including training processes, data requirements, and understanding model outputs.
  4. Ethical Considerations and Responsible Use: Discussing the ethical implications of deploying LLMs, focusing on privacy, bias, and ensuring transparency in automated decision-making.
  5. Implementing LLMs in Public Sector Projects: Strategies for integrating LLM technology into government services, including project planning, execution, and evaluation.

Prerequisites:

  • There are no prerequisites for this course.

Grading Policy:

  • 2 exams
  • 1 capstone project

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