Results 21 to 30 of about 4,804,928 (276)

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

CoRR, 2023
Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities (and quantities) of generated output.
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, Douglas C. Schmidt   +8 more
openaire   +3 more sources

Monadic, prompt lazy assertions in Haskell [PDF]

, 2007
Assertions test expected properties of run-time values without disrupting the normal computation of a program. We present a library for enriching Haskell programs with assertions. Expected properties can be specified in a parser-combinator like language.
Chitil, Olaf, Huch, Frank
core   +1 more source

Prompt Engineering as a Key Competence in Education: Concept, Characteristics, and Assessment Approaches

Высшее образование в России
In the context of the rapid development of Generative Artificial Intelligence (GenAI), prompt engineering is becoming a key competence for effective interaction with large language models in educational settings.
M. A. Davlatova, M. V. Speranskaia
doaj   +1 more source

Reverse Prompt Engineering

CoRR
We explore a new language model inversion problem under strict black-box, zero-shot, and limited data conditions. We propose a novel training-free framework that reconstructs prompts using only a limited number of text outputs from a language model. Existing methods rely on the availability of a large number of outputs for both training and inference ...
Hanqing Li, Diego Klabjan
openaire   +2 more sources

Prompting meaning: a hermeneutic approach to optimising prompt engineering with ChatGPT

AI & SOCIETY, 2023
Abstract Recent advances in natural language generation (NLG), such as public accessibility to ChatGPT, have sparked polarised debates about the societal impact of this technology. Popular discourse tends towards either overoptimistic hype that touts the radically transformative potentials of these systems or pessimistic critique of their ...
Leah Henrickson, Albert Meroño-Peñuela
openaire   +5 more sources

Conversational Prompt Engineering

CoRR
Prompts are how humans communicate with LLMs. Informative prompts are essential for guiding LLMs to produce the desired output. However, prompt engineering is often tedious and time-consuming, requiring significant expertise, limiting its widespread use.
Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector, Shai Gretz, Lena Dankin, Alon Halfon, Yoav Katz, Noam Slonim   +7 more
openaire   +3 more sources

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Prompt engineering for healthcare: Methodologies and applications

Meta-Radiology
Prompt engineering is a critical technique in the field of natural language processing (NLP) that involves designing and optimizing the prompts used to input information into models, aiming to enhance their performance on specific tasks.
Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Huawen Hu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Yi Pan, Zhengliang Liu, Lichao Sun, Xiang Li, Bao Ge, Xi Jiang, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang   +22 more
doaj   +1 more source

Is Prompt Engineering a Profession?

International Journal of Artificial Intelligence & Applications
Prompt Engineering, the systematic design and construction of prompts for human-AI interaction, raises questions regarding its professional status. This paper examines Prompt Engineering and evaluates whether it qualifies as a distinct profession. Through an analysis of its defining characteristics, including specialized skills, ethical considerations,
Zişan Cihangir IŞIN, Hilal FIDAN, Beyşan Tarık IŞIN, Erşan IŞIN, Tamer IŞIN   +4 more
openaire   +2 more sources