# Prompting Techniques import {Cards, Card} from 'nextra-theme-docs' import { CardsIcon, OneIcon, WarningIcon, FilesIcon} from 'components/icons' 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. } title="Zero-Shot Prompting" href="/techniques/zeroshot" /> } title="Few-Shot Prompting" href="/techniques/fewshot" /> } title="Chain-of-Thought Prompting" href="/techniques/cot" /> } title="Self-Consistency" href="/techniques/consistency" /> } title="General Knowledge Prompting" href="/techniques/knowledge" /> } title="Prompt Chaining" href="/techniques/prompt_chaining" /> } title="Tree of Thoughts Prompting" href="/techniques/tot" /> } title="Retrieval Augmented Generation" href="/techniques/rag" /> } title="Automatic Reasoning and Tool-Use" href="/techniques/art" /> } title="Automatic Prompt Engineer" href="/techniques/ape" /> } title="Active-Prompt" href="/techniques/activeprompt" /> } title="Direct Stimulus Prompting" href="/techniques/dsp" /> } title="Program-Aided Language" href="/techniques/pal" /> } title="ReAct" href="/techniques/react" /> } title="Multimodal CoT" href="/techniques/multimodalcot" /> } title="Graph Prompting" href="/techniques/graph" />