Explores the Reflexion technique where LLMs like GPT-4 can critique and self-correct their own outputs, a potential new tool in prompt engineering.
A reflection on past skepticism of deep learning and why similar dismissal of Large Language Models (LLMs) might be a mistake.
An experiment comparing how different large language models (GPT-4, Claude, Cohere) write a biography, analyzing their accuracy and training data.
An overview of prompt engineering techniques for large language models, including zero-shot and few-shot learning methods.
An overview of four different methods for detecting AI-generated text, including OpenAI's AI Classifier, DetectGPT, GPTZero, and watermarking.
