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Course Outline
Foundations of Advanced Prompt Engineering
- The role of prompts in shaping DeepSeek LLM performance
- The impact of prompt structure on AI-generated results
- Comparative analysis of prompt behavior in DeepSeek-R1, DeepSeek-V3, and other LLMs
Creating Effective Prompts
- Constructing precise, well-structured prompts
- Making techniques for regulating tone, length, and output format
- Approaching ambiguous or open-ended inquiries
Enhancing AI Response Quality
- Refining prompts for specific use cases
- Managing response control via temperature and max token settings
- Applying system messages and role-based prompting strategies
Managing Context and Implementing Prompt Chaining
- Sustaining context across successive AI interactions
- Using prompt chains to direct complex tasks
- Incorporating memory and reference methods in extended conversations
Mitigating Bias and Bolstering AI Reliability
- Identifying and reducing biases in AI-generated content
- Verifying factual accuracy in model responses
- Addressing ethical dimensions of prompt engineering
Assessing and Validating Prompt Performance
- Evaluating the quality and consistency of AI outputs
- Automating prompt testing and validation workflows
- Reviewing case studies of successful prompt engineering
Implementing AI Applications with Refined Prompts
- Embedding optimized prompts into enterprise processes
- Enhancing AI-powered chatbots and automated tools
- Adapting prompt strategies for diverse use cases
Current Trends in Prompt Engineering
- Recent developments in LLMs and prompt optimization methods
- Facilitating hybrid AI-human collaboration via prompts
- Future directions in controlling AI-generated content
Wrap-Up and Future Directions
Requirements
- Working experience with Large Language Models (LLMs) and AI APIs
- Competence in a programming language (e.g., Python, JavaScript)
- Foundational knowledge of NLP and text generation processes
Intended Audience
- AI engineers developing LLM-based solutions
- Developers enhancing AI-driven workflows
- Data analysts improving the quality of AI outputs
14 Hours