PROMPT REVOLUTION

Enhancing Research Productivity: A Comprehensive Guide to Canvas and Artifacts in GenAI Interfaces

These tools provide dedicated spaces for creating, refining, and managing content alongside artificial intelligence interactions, facilitating tasks from data visualisation to manuscript drafting. This guide, tailored for researchers, examines their practical applications, operational mechanisms, distinctions, version control capabilities, memory management, and availability in other models. By leveraging these interfaces, researchers

by Rebeka Kiss • Jul 16, 2025

data pre-processing GPT-4o

Linking Headlines to Article Bodies for Stance Detection: A Structured Pre-processing Workflow Using GPT-4o

Working with real-world text data often means dealing with structures that are not yet analysis-ready. In our case, the dataset included headlines and full article texts stored separately, across two different tables. The only link between them was a shared identifier field: Body ID. Before we could begin any further

by Rebeka Kiss • May 28, 2025

AI detection Originality.ai ZeroGPT

Human- or AI-Generated Text? What AI Detection Tools Still Can’t Tell Us About the Originality of Written Content

Can we truly distinguish between text produced by artificial intelligence and that written by a human author? As large language models become increasingly sophisticated, the boundary between machine-generated and human-crafted writing is growing ever more elusive. Although a range of detection tools claim to identify AI-generated text with high precision,

by Rebeka Kiss • May 18, 2025

data visualisation Claude 3.7 Sonnet GPT-4o

Claude 3.7 Sonnet, GPT-4o and GPT-4.5 as Top Choices for Data Visualisation with GenAI

As data visualisation becomes an increasingly integral part of communicating research and insights, the choice of generative AI models capable of handling both code and chart rendering has never been more important. In this post, we explore which models can be reliably used for visual tasks—such as generating Python-based

by Rebeka Kiss • Apr 13, 2025

file handling Mistral GPT-4o

Which Models Can Generate Downloadable .txt Files? A Hands-On Test for Survey Data Output

If your goal is to generate a downloadable .txt file—be it for survey responses, formatted data, or any structured text—not all models can deliver. In this case study, we tested various models to see whether they can create actual .txt files rather than just displaying text or offering

by Rebeka Kiss • Apr 8, 2025

education learning assistant GPT-4o

How a GenAI Learning Assistant Enhances Targeted Exam Preparation: A Case Study of Active Recall

GenAI can be efficiently used as a learning assistant, as demonstrated by this case study. This GenAI prompt assists university students in preparing for exams by targeting a specific topic from their lecture notes. It extracts the relevant section and creates focused revision questions to support active recall and understanding.

by Rebeka Kiss • Apr 1, 2025

GPT-4o GPT-4.5 file handling

Exploring Input File Support in GenAI Models: What Works and What Doesn’t

Generative AI models have become indispensable tools across industries, but their effectiveness often hinges on the types of input files they can process. Here, we assess the capabilities of leading GenAI interfaces—including Claude, ChatGPT, Gemini, Grok, etc.—examining their support for formats like PDF, JSON, and Python files, and

by Rebeka Kiss • Mar 31, 2025

synthetic data GPT-4.5 GPT-4o

Testing GPT Models on Synthetic Data Generation: Unique Sentences Are Still a Challenge

As part of testing the synthetic data generation capabilities of GenAI models, we assigned a seemingly simple task to some of the most popular language models: to generate 50 unique customer feedback entries about a smartwatch, including specified fields (name, age, city, feedback, and date of purchase) and a varied

by Rebeka Kiss • Mar 22, 2025