Prompt Engineering - Lilian Weng

prompt_engg.md

https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/

prompt engineering for autoregressive language models

https://github.com/openai/openai-cookbook

https://langchain.readthedocs.io/en/latest/

https://github.com/dair-ai/Prompt-Engineering-Guide

https://learnprompting.org/docs/intro

https://promptperfect.jina.ai/

https://github.com/microsoft/semantic-kernel

https://arxiv.org/abs/2102.09690

Choose examples that are semantically similar to the test example using -NN clustering in the embedding space - https://arxiv.org/abs/2101.06804

https://arxiv.org/abs/2209.01975

https://arxiv.org/abs/2112.08633

https://arxiv.org/abs/2211.04486

https://arxiv.org/abs/2302.12246

https://arxiv.org/abs/2104.08786

Instruction Prompting

https://arxiv.org/abs/2302.14691

Self-Consistency Sampling

https://arxiv.org/abs/2203.11171

https://arxiv.org/abs/2302.12822

Chain-of-Thought (CoT)

https://arxiv.org/abs/2201.11903

https://arxiv.org/abs/2205.11916

https://arxiv.org/abs/2211.01910

https://arxiv.org/abs/2207.00747

https://arxiv.org/abs/2203.14465

https://arxiv.org/abs/2210.00720

https://arxiv.org/abs/2205.03401

https://arxiv.org/abs/2210.03350

https://arxiv.org/abs/2212.10509

https://arxiv.org/abs/2210.03629

Automatic Prompt Design

AutoPrompt https://arxiv.org/abs/2010.15980

Prefix-Tuning https://arxiv.org/abs/2101.00190

P-tuning https://arxiv.org/abs/2103.10385

Prompt-Tuning https://arxiv.org/abs/2104.08691

APE (Automatic Prompt Engineer https://arxiv.org/abs/2211.01910

To construct chain-of-thought prompts automatically https://arxiv.org/abs/2302.12822

https://arxiv.org/abs/2210.03493

Augmented Language Models

https://arxiv.org/abs/2302.07842

https://arxiv.org/abs/2203.05115

https://arxiv.org/abs/2110.08387

Programming Language

https://arxiv.org/abs/2211.10435

https://arxiv.org/abs/2211.12588

External APIs

https://arxiv.org/abs/2205.12255

https://arxiv.org/abs/2302.04761