➡️ Zero-Shot Prompting

• No examples; relies on model’s pre-training

➡️ Few-Shot Prompting

• Includes a few labeled examples in the prompt

➡️ Chain-of-Thought (CoT)

• Step-by-step reasoning, makes thinking explicit

➡️ Self-Consistency

• Aggregates multiple reasoning paths for reliability

➡️ Prompt Chaining

• Breaks tasks into subtasks, each with its own prompt

➡️ Meta Prompting

• Focuses on structure and syntax, not content

➡️ Generate Knowledge Prompting

• Prompts model to create background knowledge before answering

➡️ Tree of Thoughts (ToT)

• Explores a tree of reasoning paths, with evaluation and backtracking

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