writing and formatting

writing and formatting

Exploring Temperature Settings in Creative Writing: A Haiku Generation Case Study with OpenAI API

Every time you prompt a large language model, you're witnessing the result of thousands of sequential sampling decisions—each token drawn from a probability distribution over the model's vocabulary. In standard chat interfaces, these distributions are sampled with fixed settings that users cannot adjust. But API

Testing PangramLabs for AI Text Detection: Impressive but Imperfect Performance

Can AI detection tools reliably distinguish between human and machine-generated text? In our previous testing, we found that platforms like Originality.ai and ZeroGPT and GenAI models, frequently misclassified both AI and human text. Now, PangramLabs has gained attention with claims of near-perfect accuracy, verified by third-party organizations. In this

Transforming Academic References into Structured HTML with Mistral Le Chat

Academic writing increasingly relies on consistent, machine-readable formatting—especially when preparing manuscripts for digital publication, automated parsing, or citation indexing. This post demonstrates how the Mistral Le Chat can accurately convert plain-text bibliographic entries into structured HTML, generating both inline (short-form) citations and full bibliographic records with cross-linked anchors. This

by Rebeka Kiss

AI Writing Tools for Researchers: Getting Started with Grammarly and DeepL

Academic writing demands clarity, precision, and often the ability to work across multiple languages. In recent years, AI-powered writing tools have become indispensable aids for researchers looking to improve their manuscripts. Two popular options are Grammarly and DeepL, each offering distinct strengths. Grammarly is known for refining English writing (catching

by Rebeka Kiss