Course Outline

Introduction to LlamaIndex and Context Augmentation for Government

  • Overview of LlamaIndex
  • The role of context augmentation in artificial intelligence (AI)
  • Benefits of using LlamaIndex with large language models (LLMs) for government applications

Setting Up LlamaIndex for Government Use

  • Installation and configuration procedures
  • Understanding the architecture and components of LlamaIndex
  • Data connectors and ingestion methods for government datasets

Data Indexing and Access for Government

  • Creating data indexes to ensure efficient access in government systems
  • Query engines and natural language access capabilities tailored for government needs
  • Best practices for structuring data to meet public sector requirements

Integrating LlamaIndex with LLMs for Government Applications

  • Enhancing LLMs with contextually relevant data from government sources
  • Practical exercises: Augmenting chatbots and text generators for government services
  • Troubleshooting techniques and optimization strategies for government use cases

Application Scenarios and Case Studies for Government

  • Use cases in various government sectors
  • Review of successful implementations within public sector organizations
  • Building a context-augmented AI solution for government agencies

Summary and Next Steps for Government Implementation

Requirements

  • Fundamental knowledge of artificial intelligence and machine learning principles
  • Understanding of Large Language Models (LLMs)
  • Practical experience in programming and data management

Audience

  • AI researchers for government
  • Machine learning professionals
  • Data scientists
 14 Hours

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