AI Empower https://validator.w3.org/feed/docs/rss2.html Prompting GPT-3 To Be Reliable Metacognitive Prompting Improves Understanding in Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Chain-of-Thought Prompting About the Founder Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Enhancing LLM-based Test Generation for Hard-to-Cover Branches via Program Analysis SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures ELIZA—a computer program for the study of natural language communication between man and machine System 2 Attention (is something you might need too) Procedures as a Representation for Data in a Computer Program for Understanding Natural Language Large Language Models as Optimizers Dynamic Prompting: A Unified Framework for Prompt Tuning ReAct: Synergizing Reasoning and Acting in Language Models Tree of Thoughts: Deliberate Problem Solving with Large Language Models Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models Automatic Chain of Thought Prompting in Large Language Models Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models Thread of Thought Unraveling Chaotic Contexts Large Language Models Are Human-Level Prompt Engineers Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts Dynamic Visual Prompt Tuning for Parameter Efficient Transfer Learning Compositionality and Generalization In Emergent Languages About AI Empower Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Improving Language Understanding by Generative Pre-Training Testing Causal Models of Word Meaning in GPT-3 and -4 GPT Understands, Too CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning User Interface Goals, AI Opportunities PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? Train and You’ll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings Contrastive Chain-of-Thought Prompting Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves Smart Reply: Automated Response Suggestion for Email Logic and conversation Decomposed Prompting: A Modular Approach for Solving Complex Tasks Large Language Models are Zero-Shot Reasoners The Power of Scale for Parameter-Efficient Prompt Tuning Large Language Models Understand and Can be Enhanced by Emotional Stimuli Transforming Genetic Research: The Impact of Large Language Models in Genomics Contrastive Chain of Thought Prompting Step-Back Prompting Emotion Prompt Literature Review Explores the Emerging Field of Prompt Architecture 🤖 A Prompt Pattern Catalog A new AI Ethics Framework – the D.A.T.A. Method