Prompt Engineering

Gttmr·2023년 2월 27일
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Surveys

Augmented Language Models: a Survey (Feb 2023)
A Survey for In-context Learning (Dec 2022)
Towards Reasoning in Large Language Models: A Survey (Dec 2022)
✨Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing (Jul 2021)

Approaches

Active Prompting with Chain-of-Thought for Large Language Models (Feb 2023)
Guiding Large Language Models via Directional Stimulus Prompting (Feb 2023)
How Does In-Context Learning Help Prompt Tuning? (Feb 2023)
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains (Feb 2023)
PAL: Program-aided Language Models (Nov 2022)
Large Language Models Are Human-Level Prompt Engineers (Nov 2022)
Ignore Previous Prompt: Attack Techniques For Language Models (Nov 2022)
ReAct: Synergizing Reasoning and Acting in Language Models (Oct 2022)
✨Decomposed Prompting: A Modular Approach for Solving Complex Tasks (Oct 2022)
Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic? (Oct 2022)
✨PromptChainer: Chaining Large Language Model Prompts through Visual Programming (Mar 2022)
Training language models to follow instructions with human feedback (Mar 2022)
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? (Feb 2022)
✨Making Pre-trained Language Models Better Few-shot Learners (Aug 2021)

Blog, Readings

Prompting Methods with Language Models and Their Applications to Weak Supervision
3 Principles for prompt engineering with GPT-3
How to Fine-Tune GPT-3 Model for Named Entity Recognition
Custom NER with GPT-3 using Promptify
A Generic Framework for ChatGPT Prompt Engineering
The Power of Scale for Prompt Tuning

Data

Awesome ChatGPT Prompts
ChatGPT Prompt Generator(hugging-face)
WritingPrompts(reddit)

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