Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …

This article surveys and organizes research works in a new paradigm in natural language
processing, which we dub “prompt-based learning.” Unlike traditional supervised learning …

Prompt engineering is a relatively new discipline that refers to the practice of developing and
optimizing prompts to effectively utilize large language models, particularly in natural …

Pre-trained language models derive substantial linguistic and factual knowledge from the
massive corpora on which they are trained, and prompt engineering seeks to align these …

In the rapidly evolving landscape of natural language processing (NLP), ChatGPT has
emerged as a powerful tool for various industries and applications. To fully harness the …

Prompt engineering is a relatively new field of research that refers to the practice of
designing, refining, and implementing prompts or instructions that guide the output of large …

Highly effective, task-specific prompts are often heavily engineered by experts to integrate
detailed instructions and domain insights based on a deep understanding of both instincts of …

This paper delves into the pivotal role of prompt engineering in unleashing the capabilities
of Large Language Models (LLMs). Prompt engineering is the process of structuring input …

Artificial intelligence-powered generative language models (GLMs), such as ChatGPT,
Perplexity AI, and Google Bard, have the potential to provide personalized learning …

When the first transformer-based language models were published in the late 2010s,
pretraining with general text and then fine-tuning the model on a task-specific dataset often …