Prompt Chaining and Multi-Step Pipelines

Tool Use and Function Calling

Grounding Responses with External Context

Retrieval-Augmented Generation (RAG)

Prompt Injection and Security Risks

Prompt Failure Modes and Hallucinations

Iterative Prompt Refinement and Testing

Decoding Parameters: Temperature, Top-p, Max Tokens

Controlling Output Format with LLMs

Prompt Templating and Variable Injection

System, User, and Assistant Roles

Role and Persona Prompting

Chain-of-Thought Prompting for Reasoning

Few-Shot Prompting and In-Context Learning

Zero-Shot Prompting

Anatomy of a Prompt

What Prompt Engineering Is

Cost and Latency in LLM Apps

Evaluating LLM Outputs and Prompt Quality

Self-Consistency and Output Verification

Context Window and Token Limits

Agentic Loops and ReAct Pattern

Returning Tool Call Results

ReAct Reasoning-Action Loop

Context Window Token Budgeting

Self-Consistency Voting

Conversation History Truncation

Prompt Injection Detection