GPT-6 Astra 在 Bach Benchmark 音乐创作测试中取得最佳成绩
Here's a benchmark that uses Lilypond https://t.co/6yWiT7tG9e
有人用 LilyPond 让模型写巴赫众赞歌,GPT-6 Astra 第一次写出了经过音,对乐理感兴趣的可以去看看它写的谱子。
Auggie 发布的 Bach Benchmark 使用 LilyPond 2.24 让模型创作四声部巴赫风格众赞歌。GPT-6 Astra 在 Extra High effort 模式下拿下该基准迄今最佳成绩,其作品没有声部进行错误,并使用了拿坡里六和弦。这也是首个在该基准上写出经过音的模型。测试提示词要求生成 G 小调、3/4 拍、两个谱表的四声部作品。
Here's a benchmark that uses Lilypond https://t.co/6yWiT7tG9e
Here's a benchmark that uses Lilypond x.com/aug5thmusic/st… Auggie @aug5thmusic GPT-6 Astra has the best result yet on the Bach Benchmark. Its chorale contains no voice-leading errors, and its harmonic palette is sophisticated enough to include a Neapolitan sixth chord. More importantly, it is the first model to ever write passing tones on this benchmark, a significant leap in musical understanding. Extra High effort. Prompt below: “In LilyPond (version 2.24), write a 4-part chorale in the style of Bach, 3/4 time, G minor. Use two staves -- soprano and alto on the top staff, tenor and bass on the bottom staff. Respond with only the code block.” Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 3 🔄 0 ❤️ 7 👀 2126 📊 3 ⚡