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Jim Clarke's Blog (3)
JavaFX and SteelSeries gauges using FXML
Gerrit Grunwald, aka @hansolo_ on twitter, has just ported his Swing based gauges and meters framework known as SteelSeries to JavaFX as part of the JFXtras-lab project. I can't tell you how many times since Java AWT first came out, that I have had to use meters…
ContinueAdded by Jim Clarke on June 25, 2012 at 9:30pm — No Comments
JavaFX 2.2 Canvas
One of the cool new features of the JavaFX 2.2 developer preview release is a new Canvas node that allows you to do free drawing within an area on the JavaFX scene similar to the HTML 5 Canvas. You can download this release for Windows, Mac, and Linux from JavaFX Developer Preview.
Being adventurous, I decided to take the JavaFX Canvas for a spin around the block. In doing…
ContinueAdded by Jim Clarke on June 3, 2012 at 8:11pm — No Comments
GroovyFX, Getting started.
Dean Iverson and I have been working on an open source project called GroovyFX that provides a Groovy binding that sits on the new JavaFX 2.0 platform. Dean has written a good blog on how to get started with GroovyFX here. It is already a little dated, but if you ignore the JavaFX build numbers and just download the…
ContinueAdded by Jim Clarke on September 27, 2011 at 4:51pm — No Comments
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Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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New Token-Oriented Object Notation (TOON) Hopes to Cut LLM Costs by Reducing Token Consumption
The recently released Token-Oriented Object Notation (TOON) aims to be a schema-aware alternative to JSON that significantly reduces token consumption at a similar level of accuracy. While the existence and importance of token saved depend on the data shape. some benchmarks show TOON may use in some cases 40% fewer tokens than JSON, possibly resulting in LLM and inference cost savings.
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By Matt Saunders
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