以下部分引用 AI 总结,现阶段 AI 仍然有幻觉。请以内容的原文为准。
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Google Translate
4 atoms · 跨 2 天 · 首见 2026-04-28 · 最近 2026-04-29
三色: 🟦 fact 4 · 🟥 take 0 · stance ▲0/▼0/◆0
来源: X 4
时态: fresh:4
标签: 好信源:4 · 好思考:1 · 好数字:1
事实 (fact) (4)
- 2026-04-28 ⭐ · 部署基于大规模5-gram语言模型的初始系统提高质量
The first was our deployment of the initial system in 2006, which provided a huge leap forward in quality because it used a much larger 5-gram language model trained on trillions of words of text (indeed, probably the first trillion token language model training in the world: paper has some nice heads showing scaling-law-like quality improvement from scaling to more data/compute).
tags: 好思考·好信源 · → daily
value: qty=2006 · direction=initial_deployment
- 2026-04-29 ⭐ · monthly queries
Translate gets 1B+ queries per month
tags: 好数字·好信源 · → daily
value: qty=1B+ · date=monthly
- 2026-04-28 · 2016年从统计机器翻译转向深度神经网络
The second major collaboration was in 2016 when we moved Translate over from a statistical machine translation approach to using deep neural networks.
tags: 好信源 · → daily
value: date=2016 · direction=transition
- 2026-04-28 · 后续使用Gemini模型进一步推进
Most recently, we have advanced Translate further using Gemini models.
tags: 好信源 · → daily
value: direction=advancement
时间轴 (近 20)
- 2026-04-29 ·
fact · monthly queries · → daily
- 2026-04-28 ·
fact · 部署基于大规模5-gram语言模型的初始系统提高质量 · → daily
- 2026-04-28 ·
fact · 2016年从统计机器翻译转向深度神经网络 · → daily
- 2026-04-28 ·
fact · 后续使用Gemini模型进一步推进 · → daily
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