Tootfinder

TIL about the `light-dark()` #CSS function
https://developer.mozilla.org/en-US/docs/Web/CSS/color_value/light-dark

light-dark() - CSS: Cascading Style Sheets | MDN
The light-dark() CSS function enables setting two colors for a property - returning one of the two colors options by detecting if the developer has set a light or dark color scheme or the user has requested light or dark color theme - without needing to encase the theme colors within a prefers-color-scheme media feature query. Users are able to indicate their color-scheme preference through their operating system settings (e.g. light or dark mode) or their user agent settings. The lig…

🚲 A Survey on the Real Power of ChatGPT
#ai #cs

A Survey on the Real Power of ChatGPT
ChatGPT has changed the AI community and an active research line is the performance evaluation of ChatGPT. A key challenge for the evaluation is that ChatGPT is still closed-source and traditional benchmark datasets may have been used by ChatGPT as the training data. In this paper, (i) we survey recent studies which uncover the real performance levels of ChatGPT in seven categories of NLP tasks, (ii) review the social implications and safety issues of ChatGPT, and (iii) emphasize key challenges…

🎨 GPU-friendly Stroke Expansion
(… fun to see modern ways to do vector graphics)
#cs

GPU-friendly Stroke Expansion
Vector graphics includes both filled and stroked paths as the main primitives. While there are many techniques for rendering filled paths on GPU, stroked paths have proved more elusive. This paper presents a technique for performing stroke expansion, namely the generation of the outline representing the stroke of the given input path. Stroke expansion is a global problem, with challenging constraints on continuity and correctness. Nonetheless, we implement it using a fully parallel algorithm su…

How do you eat a large hard drive?
You just pick it up, and tear a bite.
#Puns #CS

Ueli „kä Luscht“ Muurer bessert übrigens seine Rente mit einem öffentlichen Interview und anschliessendem Nachtessen im #Schiffbau auf. Die Fragen zu #Haushaltsdisziplin in Zeiten der Covidolera, #CS-Rettung, …

🧮 RAD-PHI2: Instruction Tuning PHI-2 for Radiology
(notably they train an LLM for a specified field without a massive resources and get good results - will this work for other domains?)
#ai #cs #computing

RAD-PHI2: Instruction Tuning PHI-2 for Radiology
Small Language Models (SLMs) have shown remarkable performance in general domain language understanding, reasoning and coding tasks, but their capabilities in the medical domain, particularly concerning radiology text, is less explored. In this study, we investigate the application of SLMs for general radiology knowledge specifically question answering related to understanding of symptoms, radiological appearances of findings, differential diagnosis, assessing prognosis, and suggesting treatmen…

💪 Relational Graph Convolutional Networks for Sentiment Analysis
#computerscience

Relational Graph Convolutional Networks for Sentiment Analysis
With the growth of textual data across online platforms, sentiment analysis has become crucial for extracting insights from user-generated content. While traditional approaches and deep learning models have shown promise, they cannot often capture complex relationships between entities. In this paper, we propose leveraging Relational Graph Convolutional Networks (RGCNs) for sentiment analysis, which offer interpretability and flexibility by capturing dependencies between data points represented…