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Course Outline
Introduction to Advanced Prompt Engineering for Government
- Understanding the Role of Prompts in DeepSeek LLMs for Government
- How Prompt Structure Affects AI-Generated Responses for Government Operations
- Comparing DeepSeek-R1, DeepSeek-V3, and Other LLMs in Prompt Behavior for Government Applications
Designing Effective Prompts for Government Use
- Crafting Precise and Structured Prompts for Government Needs
- Techniques for Controlling Tone, Length, and Format in Government Communications
- Handling Ambiguous and Open-Ended Questions in Government Interactions
Optimizing AI Responses for Government Operations
- Fine-Tuning Prompts for Specific Government Tasks
- Adjusting Temperature and Max Tokens for Response Control in Government Applications
- Using System Messages and Role-Based Prompting for Enhanced Government Services
Context Management and Prompt Chaining for Government Use
- Maintaining Context Across Multiple AI Interactions for Government Processes
- Chaining Prompts to Guide Complex Government Tasks
- Using Memory and Reference Techniques in Long Conversations for Government Operations
Reducing Bias and Improving AI Reliability for Government
- Detecting and Mitigating Biases in AI-Generated Outputs for Government
- Ensuring Factual Accuracy in AI Responses for Government Services
- Ethical Considerations in Prompt Engineering for Government Applications
Testing and Evaluating Prompt Performance for Government
- Measuring AI Response Quality and Consistency for Government Use
- Automating Prompt Testing and Evaluation for Government Operations
- Case Studies of Effective Prompt Engineering Strategies in Government Settings
Deploying AI-Powered Applications with Optimized Prompts for Government
- Integrating Refined Prompts into Enterprise Workflows for Government Agencies
- Optimizing AI-Driven Chatbots and Automation Tools for Government Services
- Scaling Prompt Strategies for Different Government Use Cases
Emerging Trends in Prompt Engineering for Government
- Advancements in LLMs and Prompt Optimization Techniques for Government
- Hybrid AI-Human Collaboration Through Prompt Engineering for Government Operations
- Future Innovations in AI-Generated Content Control for Government Applications
Summary and Next Steps for Government Implementation
Requirements
- Experience with large language models (LLMs) and artificial intelligence application programming interfaces (APIs)
- Proficiency in a programming language (e.g., Python, JavaScript)
- Fundamental understanding of natural language processing (NLP) and text generation techniques
Audience
- Artificial intelligence engineers working on LLM-based applications for government
- Developers enhancing AI-powered workflows
- Data analysts improving the accuracy of AI-generated outputs
14 Hours
