Course Outline

Introduction to Advanced Prompt Engineering for Government

  • Understanding the role of prompts in DeepSeek LLMs for government applications
  • How prompt structure influences AI-generated responses in public sector contexts
  • Comparing DeepSeek-R1, DeepSeek-V3, and other LLMs in terms of their prompt behavior for government use cases

Designing Effective Prompts for Government

  • Crafting precise and structured prompts to align with public sector workflows
  • Techniques for controlling tone, length, and format in AI-generated content for government communications
  • Strategies for handling ambiguous and open-ended questions in governmental interactions

Optimizing AI Responses for Government Use

  • Fine-tuning prompts to meet specific tasks and compliance requirements for government
  • Adjusting temperature and max tokens to control response quality and consistency in governmental applications
  • Utilizing system messages and role-based prompting to enhance AI-driven decision-making processes

Context Management and Prompt Chaining for Government

  • Maintaining context across multiple AI interactions in governmental workflows
  • Chaining prompts to guide complex tasks and improve operational efficiency for government
  • Using memory and reference techniques to enhance long conversations in public sector environments

Reducing Bias and Improving AI Reliability for Government

  • Detecting and mitigating biases in AI-generated outputs to ensure fair and equitable outcomes for government services
  • Ensuring factual accuracy in AI responses to maintain public trust in governmental communications
  • Ethical considerations in prompt engineering for government applications

Testing and Evaluating Prompt Performance for Government

  • Measuring AI response quality and consistency to meet regulatory standards for government
  • Automating prompt testing and evaluation processes to enhance governance and accountability in governmental operations
  • Case studies of effective prompt engineering strategies implemented in public sector organizations

Deploying AI-Powered Applications with Optimized Prompts for Government

  • Integrating refined prompts into enterprise workflows to support governmental operations
  • Optimizing AI-driven chatbots and automation tools to improve service delivery in government agencies
  • Scaling prompt strategies for different use cases across various government departments

Emerging Trends in Prompt Engineering for Government

  • Advancements in LLMs and prompt optimization techniques tailored for government needs
  • Hybrid AI-human collaboration through prompt engineering to enhance public sector productivity
  • Future innovations in AI-generated content control for government applications

Summary and Next Steps for Government

Requirements

  • Experience with large language models (LLMs) and artificial intelligence application programming interfaces (AI APIs)
  • Proficiency in a programming language (e.g., Python, JavaScript)
  • Basic understanding of natural language processing (NLP) and text generation techniques

Audience

  • AI engineers working with LLM-based applications for government
  • Developers optimizing AI-powered workflows for government operations
  • Data analysts refining AI-generated outputs to support government initiatives
 14 Hours

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