A curated list for Large Language Model Engineering (on the application layer)
Includes, but is not limited to articles, documentation, papers etc.
- Natural Language Processing with Transformers, Revised Edition
- GPT-3: Building Innovative NLP Products Using Large Language Models
- ChatGPT - Chatbot developed by OpenAI
- GPT-3 A.I. Coding Assistant - VSCode extension utilizing GPT3
- ChatGPT Helper - VSCode extension utilizing GPT3
- Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
- Adversarial Fine-tuning for Backdoor Defense
- Fine Tuning...Mitigate Backdoor Attacks
- OpenAI Best Practices for Prompt Engineering - How to give clear and effective instructions to GPT-3 and Codex
- 3 Principles for Prompt Engineering - Learnings from using and working with language models
- Prompt Engineering Tips and Tricks - What Prompt Engineering is, why it matters, and some tips and tricks to help you do it well
- Prompt Engineering in GPT3 - Prompting GPT3
- OpenAI GPT3 and Prompt Engineering - Deep dive into the “prompts”
- Prompt Engineering Approaches - Covers few-shot, instructor-based, chain-of-thought, automatic prompting, and prompt templates.
- PromptSource
- Survey of Prompting Methods
- Prefix Tuning: Optimizing Continuous Prompts for Generation
Contributions are always welcome! Please read the contribution guidelines first.