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English(EN) Trajectory, an 18-person startup from ex-DeepMind and Apple engineers, has raised 45M USD in a Series A at a 300M USD valuation, led by Sequoia. Its continual l

AI初创公司Trajectory融资4500万美元,估值3亿美元,获Sequoia、Nvidia投资

Trajectory是一家由前DeepMind和Apple工程师创立的初创公司,已在A轮融资中获得4500万美元,估值为3亿美元。本轮融资由Sequoia领投,Nvidia参投。该公司的平台使非技术专业人士能够利用其工作流程中的反馈来重新训练开源AI模型,为昂贵的微调过程提供了一种替代方案。 AI

影响 这笔资金可能会加速为非技术用户开发易于使用的AI模型再训练工具。

排序理由 一家AI初创公司的融资轮,有主要科技公司参与。

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI初创公司Trajectory融资4500万美元,估值3亿美元,获Sequoia、Nvidia投资

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2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Significant
一家AI初创公司的融资轮,有主要科技公司参与。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
funding, product
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High
Clearly on-topic for AI-industry coverage.
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Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · spookyd ·

    Trajectory, a year-old startup founded by three Stanford classmates, raised $45M in a Series A at a $300M valuation led by Sequoia, with Nvidia participating. I

    Trajectory, a year-old startup founded by three Stanford classmates, raised $45M in a Series A at a $300M valuation led by Sequoia, with Nvidia participating. Its platform lets nontechnical experts like lawyers retrain open source models from feedback. # AI # Startups Read more: …

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Trajectory, an 18-person startup from ex-DeepMind and Apple engineers, has raised 45M USD in a Series A at a 300M USD valuation, led by Sequoia. Its continual l

    Trajectory, an 18-person startup from ex-DeepMind and Apple engineers, has raised 45M USD in a Series A at a 300M USD valuation, led by Sequoia. Its continual learning platform lets models in law and finance retrain themselves from workflow feedback, replacing costly fine-tuning …