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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