Техники промптинга

Каталог техник от базовых до экспертных — с примерами, сравнениями и практическими советами.

189 техник

other 179

ADaPT

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API-Bank

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ART

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Active Prompting

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Adaptive-RAG

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AdvBench

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Agent-SafetyBench

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AgentBench

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AgentRewardBench

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Algorithm of Thoughts (AoT)

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Analogical Prompting

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AndroidWorld

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Auto-CoT (Automatic Chain of Thought)

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AutoGen

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Automatic Prompt Engineer

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BEIR

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BIRCO

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BRIGHT

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BeaverTails

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BiGGen Bench

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Branch-Solve-Merge

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Buffer of Thoughts (BoT)

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CAMEL

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CRAG

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CRITIC

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Chain of Code (CoC)

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Chain of Density (CoD)

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Chain of Draft (CoD)

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Chain of Thought (CoT)

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Chain-of-Note

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Chain-of-Verification (CoVe)

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Chameleon

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Chatbot Arena

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ColBERT

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Complexity-Based Prompting

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Context-Faithful Prompting

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Contrastive Chain-of-Thought

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Cumulative Reasoning

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DSP

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Decomposed Prompting (DECOMP)

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Diagram of Thought (DoT)

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Directional Stimulus Prompting

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Do-Not-Answer

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Emotional Prompting — эмоциональные стимулы

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EvalLM

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Everything of Thoughts (XoT)

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FLARE

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FacTool

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Factored Verification

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Faithful Chain-of-Thought

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Few-shot Prompting

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FiD

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G-Eval

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GAIA

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GRF

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GSM8K

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Generated Knowledge Prompting

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Generative Agents

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Gorilla

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Graph of Thoughts (GoT)

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GraphRAG

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HallusionBench

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HarmBench

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HuggingGPT

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HumanEval

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HyDE

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IFEval

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IRCoT

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Inner Monologue

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Instruction Hierarchy

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Intrinsic Self-Correction

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JSON Mode

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JailbreakBench

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JudgeLM

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KILT

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LATM

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LLM Compiler

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LLM-as-a-Judge

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Least-to-Most Prompting

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LiveCodeBench

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MAIR

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MBPP

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MIRACL

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MIRACL-VISION

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MM-BRIGHT

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MM-ReAct

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MMLU

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MMMU

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MRKL Systems — модульные агенты

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MT-Bench

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MTEB

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Maieutic Prompting

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Many-Shot In-Context Learning

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Markdown Prompting — структура через разметку

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MedPrompt

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MemGPT

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Meta-Prompting

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MetaGPT

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Mixture-of-Agents (MoA)

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Mr. TyDi

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OPRO (Optimization by PROmpting)

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OR-Bench

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OSWorld

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PAL

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PE2

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Plan-and-Solve Prompting

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ProgPrompt

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Program of Thoughts (PoT)

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Progressive-Hint Prompting

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Prometheus

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Prometheus 2

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Prompt Compression

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PromptChainer

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Promptbreeder

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Query2doc

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RAP

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RAPTOR

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RARR

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RCOT

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REPLUG

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RankGPT

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Re-Reading (Re2)

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ReAct — Reasoning + Acting

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ReWOO

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Reflexion

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Rephrase and Respond (RaR)

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RestGPT

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Rethinking with Retrieval (RwR)

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Retrieval-Augmented Thoughts (RAT)

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Role Prompting

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SORRY-Bench

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SPIN

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SPLADE

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STaR

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SWE-bench

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SafetyBench

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SayCan

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Scratchpad Prompting

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Selection-Inference

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Self-Ask

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Self-Consistency

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Self-Debug

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Self-Discover

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Self-RAG

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Self-Refine

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Self-Verification

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SelfCheckGPT

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Skeleton-of-Thought (SoT)

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Socratic Models

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Step-Back Prompting

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Structured Output

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Structured Reflection

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System 2 Attention (S2A)

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System Prompts

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TALM

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Tab-CoT

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Thought Preference Optimization (TPO)

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Thread of Thought (ThoT)

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ToRA

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ToolLLM

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ToolkenGPT

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Tree of Thoughts (ToT)

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Universal Self-Consistency

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Verify-and-Edit

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ViperGPT

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Visual ChatGPT

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Visual Programming

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VisualWebArena

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Voyager

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WebArena

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WebGPT

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WildJailbreak

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WorkArena++

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XML Tags Prompting

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XSTest

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Zero-Shot Planner

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Zero-shot Chain of Thought

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Zero-shot Prompting

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τ-bench

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Рассуждения 8

Chain-of-Symbol (CoS)

Representation-first техника: вместо длинных текстовых описаний модель получает компактные символы, схемы и сетки для пространственного reasoning.

Средняя

Chain-of-Table: рассуждения через трансформацию таблиц

Табличный reasoning через пошаговые операции над самой таблицей: фильтрация, сортировка, агрегация и вычисляемые столбцы вместо текстовых рассуждений о строках.

Средняя

Chain-of-Thought Decoding

CoT Decoding в 2026: inference-time search trick, где reasoning-path извлекается через альтернативные варианты декодирования, а не через wording промпта.

Продвинутая

Implicit Chain-of-Thought: рассуждения без слов

Implicit CoT в 2026: training/runtime concept, где reasoning интернализируется в модель и не выводится как явная цепочка токенов.

Средняя

Logic-of-Thought

Logic-of-Thought в 2026: logic-augmented reasoning pattern, где текст сначала переводится в propositions и формальные связи, а уже потом проходит пошаговую верификацию.

Продвинутая

Quiet-STaR: скрытое мышление модели

Quiet-STaR в 2026: training-time inner-monologue concept, где модель учится генерировать скрытые rationales перед токенами и улучшать prediction quality без явного prompting.

Продвинутая

Recursion of Thought

Рекурсивный reasoning через изолированные подконтексты: сложная задача дробится на подзадачи, а их ответы возвращаются в родительский контур.

Продвинутая

Thought Propagation

Analogy-first reasoning: модель решает похожие подзадачи и переносит найденные паттерны обратно в исходную задачу.

Продвинутая