Mastering Prompt Engineering for GPT Using LLM training course

Introducing Prompt Engineering

• What is prompt engineering and why is it important?
• Capabilities of ChatGPT tiers
• Key concepts in prompt engineering
• Core components of a prompt: context, instructions, examples
• Demonstration and discussion of prompt engineering examples

Prompting is Not Search

• Key differences from search queries
• Examples of effective prompts

Overview of Prompting Approaches

• A Taxonomy of Prompting: Reductive, transformative, and generative

Basic Prompt Improvements

• Importance of writing clear and unambiguous prompts
• Providing context and delimiters
• Structuring complex prompts
• Explaining ambiguous concepts and providing definitions
• Breaking complex prompts into simple steps or multiple prompts
• Strategies for prompt improvement: Iterating, refining, and chaining prompts
• Allowing the LLM to demonstrate reasoning and express uncertainty

Limitations of Language Models

• Description, examples, and mitigation strategies for common LLM issues
• Hallucinations and Mitigation Strategies
• Bias and Mitigation Strategies

Understanding Language Models

• Introduction to LLMs: Types and characteristics, including transformer-based neural nets and Reinforcement Learning from Human Feedback (RLHF)
• Attention mechanisms
• Sequence prediction, prompt length, and the context window
• Characteristics and limitations of LLMs: always generates output, tendency to please people, hallucination, mathematical limitations, data training limitations, and conversation isolation

Giving Examples

• When to use zero-shot, one-shot, few-shot prompts

Customising the Output

• Using templates effectively
• Using delimiters to distinguish the data from the prompt
• Asking for Structured Output e.g. JSON, XML, HTML etc

Role-Based Prompting

• Assigning roles for better responses
• Use case examples

Multiple Perspectives

• Simulating different viewpoints
• Improving decision making by taking into account multiple perspectives
• Converging on a concensus

Adding Personality

• Why add personality?
• Defining roles and personality traits
• Including anecdotes

Reasoning

• Improving reasoning capabilities
• Working with maths

Scenarios and Use Cases

• Data analysis example prompt
• Designing prompts for text summarization, question answering, and creative writing
• Writing an Email
• Generating business reports

Additional Topics

• More business use cases
• Leveraging custom GPTs

Conclusions

• Where to go from here
• Further resources
• Course wrap-up