Claude 3.7 Sonnet

Claude 3.7 Sonnet

Exploring the Argument Mapping and Visualisation Capabilities of Claude 3.7 Sonnet

Argument mapping is a useful method for visualising the logical structure of reasoning, particularly in complex or multi-step arguments. In this post, we examine how Claude 3.7 Sonnet performs when prompted to identify the structure of arguments and represent them visually. The model was given five tasks, each involving

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

Generative AI in the Teacher’s Toolbox: Crafting an AI and Ethics Assignment Brief

University lecturers can improve curriculum planning by using GenAI to create detailed assignment briefs quickly and effectively. This blog introduces a custom prompt that guides GenAI in producing a ready-to-use "AI and Ethics" group presentation brief. It shows how it saves time, incorporates real ethical dilemmas, and suggests

Comparing the Theory of Two Classic Articles of Quantum Physics

Reviewing and synthesising complex theoretical texts is a fundamental yet time-consuming aspect of academic research. Recent developments in generative AI offer new tools to assist scholars in the comparative analysis of scientific literature. This post presents a tailored prompt designed to support such work, illustrated through the example of two

Disseminating Research Articles Faster by Generating News with a Custom Prompt

Communicating research clearly and quickly is becoming an essential part of academic work. To support and simplify this process, we introduce a tailored prompt that helps transform published research articles into concise news following a predefined format. This tool streamlines dissemination by converting complex academic content into accessible updates ready

Assessment of AI Models' Synthetic Data Generation Capabilities: Customer Feedback Case Study

Synthetic data is critical across numerous fields, enabling researchers and practitioners to emulate realistic scenarios while safeguarding personal privacy. This blog presents a case study in which we applied this methodology to generate customer feedback for a smartwatch product using several AI models. The exercise explored the general capabilities of

Abstract Generation for English Language Scientific Research Article

Crafting precise, academically rigorous abstracts for scientific articles demands more than summarising content—it requires clarity, accuracy, and careful adherence to scholarly conventions. This blog introduces a structured prompt tailored to guide AI models in producing high-quality, publication-ready abstracts for English-language research articles. When crafting your prompt for AI-assisted abstract