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Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.

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# Skip GPU benchmarks。同城约会对此有专业解读

Jumping from one tool to another is easy. You can use

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Another testsuite that I’ve used a lot is the much older SVG 1.1 testsuite, which covers SVG animation. GtkSvg passes most of these tests as well, which I am happy about — animation was one of my motivations when going into this work.

I'm publishing this to start a conversation. What did I get right? What did I miss? Are there use cases that don't fit this model? What would a migration path for this approach look like? The goal is to gather feedback from developers who've felt the pain of Web streams and have opinions about what a better API should look like.,这一点在im钱包官方下载中也有详细论述