Course Outline

Introduction to Artificial Intelligence for Government

  • Overview of artificial intelligence and its impact across various industries, including government operations.
  • Understanding the foundational concepts of machine learning and deep learning.
  • Discussion on the evolution of AI technologies and their current capabilities in enhancing public sector workflows.

Introduction to Generative Artificial Intelligence and Large Language Models (LLMs) for Government

  • Understanding generative AI and its applications within government contexts.
  • Exploring the architecture and capabilities of ChatGPT in supporting governmental tasks.
  • Addressing privacy concerns specific to government data.
  • Techniques for effective prompt engineering to enhance AI interactions.

Foundations of Retrieval Augmented Generation (RAG) for Government

  • The concept of RAG and its role in enhancing generative models for government use.
  • Integrating retrieval methods into generative models to improve context understanding in governmental applications.
  • Workshop: Implementing a basic RAG model for information retrieval tailored for government data.

GPT + RAG for Insights from Unstructured Data for Government

  • Techniques for extracting actionable insights from unstructured data using GPT and RAG in governmental contexts.
  • Case study: Analysis of textual data to gather business intelligence relevant to government operations.

GPT for Insights from Structured Data for Government

  • Applying GPT models to structured data analysis within government datasets.
  • Techniques for transforming structured data into a format suitable for GPT processing in governmental applications.

AI Tools and Software for Government

  • ChatGPT
  • Claud
  • Copilot
  • LlamaIndex
  • Langchain
 7 Hours

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