Prompting Techniques

Prompt Engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.

While the previous basic examples were fun, in this section we cover more advanced prompting engineering techniques that allow us to achieve more complex tasks and improve reliability and performance of LLMs.

In this section

• Zero-Shot Prompting
• Few-Shot Prompting
• Chain-of-Thought Prompting
• Meta Prompting
• Self-Consistency
• Generated Knowledge Prompting
• Prompt Chaining
• Tree of Thoughts (ToT)
• Retrieval Augmented Generation (RAG)
• Automatic Reasoning and Tool-use (ART)
• Automatic Prompt Engineer (APE)
• Active-Prompt
• Directional Stimulus Prompting
• PAL (Program-Aided Language Models)
• ReAct Prompting
• Reflexion
• Multimodal CoT Prompting
• GraphPrompts