AI Prompting Fundamentals

Course subjects

Generative AI Basics

• Introduction to Data AI and Search AI

• Principles of Machine Learning and Deep Learning

• Generative AI applications

LLM Capabilities

• Text completions and chat conversations

• Digital assistants and system messages

• Prompt components and their strategic use

• Privacy, security, and data residency considerations

• Contextual memories and GPT model variations

Text Prompts

• Roles in prompts and their effects

• Formulating clear instructions

• Managing real-time information expectations

• Importance of context in prompts

• Using examples to guide output style

Plug-ins and Extensions

• Internet connectivity for real-time data

• Executing Python/code within LLMs13

• Third-party plug-in integration

• Personal data incorporation in LLM workflows

Image Prompts

• Style modifiers for AI-generated images

• Quality boosters for visual impact

• Effective use of repetition in design

• Camera shots and angles simulation

Code Prompts

• Debugging with LLMs

• Code completion and suggestion assistance

• Generating documentation for code bases

• LLM integration with development environments

Potential Issues

• Content filters and inappropriate content prevention

• Data bias identification and reduction

• Recognising and correcting hallucinations

• Managing recency bias and token/message length limitations

Prompt Uses

• Summarisation of large volumes of information

• Content creation for specific audiences

• Brainstorming with AI for idea generation

• Fact-checking for content accuracy

• Reformatting text for different platforms

• Intent recognition in user queries