OpenAI to acquire Neptune
我们很高兴地宣布， OpenAI 已签署最终协议，收购 neptune.ai ，以强化支撑前沿研究进展的工具与基础设施。
训练先进的 AI 模型是一个依赖于实时观察模型如何演化的创造性与探索性过程。 neptune.ai 为研究人员提供了一种清晰且可靠的方式来跟踪实验、监控训练并实时洞察复杂的模型行为。
自成立以来， neptune.ai 团队就专注于支持模型开发中那种需要大量动手迭代的工作。近期， neptune.ai 与 OpenAI 密切合作，开发出能让研究者比较数千次运行、跨层分析指标并暴露问题的工具。 neptune.ai 在该领域的深厚积累将帮助我们更快推进、从每次实验中学到更多，并在整个训练过程中做出更明智的决策。
“ neptune.ai 构建了一个快速且精确的系统，使研究人员能够分析复杂的训练工作流，” OpenAI 的 Chief Scientist Jakub Pachocki 说。“我们计划与他们持续迭代，将这些工具深入整合进我们的训练栈，以扩大我们对模型学习过程的可视化能力。”
neptune.ai 的创始人兼 CEO Piotr Niedźwiedź 表示：“这对我们来说是令人振奋的一步。我们始终相信，好的工具能帮助研究者做出最好的工作。加入 OpenAI 让我们有机会把这种信念推广到更大的规模。”
我们期待与他们一同书写训练工具的下一个篇章。
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We’re excited to share that OpenAI has entered into a definitive agreement to acquire neptune.ai, strengthening the tools and infrastructure that support progress in frontier research.
Training advanced AI models is a creative, exploratory process that depends on seeing how a model evolves in real time. Neptune gives researchers a clear and dependable way to track experiments, monitor training, and understand complex model behavior as it happens.
From its beginning, the Neptune team focused on supporting the hands-on, iterative work of model development. More recently, Neptune has worked closely with OpenAI to develop tools that enable researchers to compare thousands of runs, analyze metrics across layers, and surface issues. Neptune’s depth in this area will help us move faster, learn more from each experiment, and make better decisions throughout the training process.
“Neptune has built a fast, precise system that allows researchers to analyze complex training workflows,” said Jakub Pachocki, OpenAI’s Chief Scientist. “We plan to iterate with them to integrate their tools deep into our training stack to expand our visibility into how models learn.”
Piotr Niedźwiedź, founder and CEO of Neptune, said, “This is an exciting step for us. We’ve always believed that good tools help researchers do their best work. Joining OpenAI gives us the chance to bring that belief to a new scale.”
We look forward to building the next chapter of training tools together.
via OpenAI News
我们很高兴地宣布， OpenAI 已签署最终协议，收购 neptune.ai ，以强化支撑前沿研究进展的工具与基础设施。
训练先进的 AI 模型是一个依赖于实时观察模型如何演化的创造性与探索性过程。 neptune.ai 为研究人员提供了一种清晰且可靠的方式来跟踪实验、监控训练并实时洞察复杂的模型行为。
自成立以来， neptune.ai 团队就专注于支持模型开发中那种需要大量动手迭代的工作。近期， neptune.ai 与 OpenAI 密切合作，开发出能让研究者比较数千次运行、跨层分析指标并暴露问题的工具。 neptune.ai 在该领域的深厚积累将帮助我们更快推进、从每次实验中学到更多，并在整个训练过程中做出更明智的决策。
“ neptune.ai 构建了一个快速且精确的系统，使研究人员能够分析复杂的训练工作流，” OpenAI 的 Chief Scientist Jakub Pachocki 说。“我们计划与他们持续迭代，将这些工具深入整合进我们的训练栈，以扩大我们对模型学习过程的可视化能力。”
neptune.ai 的创始人兼 CEO Piotr Niedźwiedź 表示：“这对我们来说是令人振奋的一步。我们始终相信，好的工具能帮助研究者做出最好的工作。加入 OpenAI 让我们有机会把这种信念推广到更大的规模。”
我们期待与他们一同书写训练工具的下一个篇章。
----------------------
We’re excited to share that OpenAI has entered into a definitive agreement to acquire neptune.ai, strengthening the tools and infrastructure that support progress in frontier research.
Training advanced AI models is a creative, exploratory process that depends on seeing how a model evolves in real time. Neptune gives researchers a clear and dependable way to track experiments, monitor training, and understand complex model behavior as it happens.
From its beginning, the Neptune team focused on supporting the hands-on, iterative work of model development. More recently, Neptune has worked closely with OpenAI to develop tools that enable researchers to compare thousands of runs, analyze metrics across layers, and surface issues. Neptune’s depth in this area will help us move faster, learn more from each experiment, and make better decisions throughout the training process.
“Neptune has built a fast, precise system that allows researchers to analyze complex training workflows,” said Jakub Pachocki, OpenAI’s Chief Scientist. “We plan to iterate with them to integrate their tools deep into our training stack to expand our visibility into how models learn.”
Piotr Niedźwiedź, founder and CEO of Neptune, said, “This is an exciting step for us. We’ve always believed that good tools help researchers do their best work. Joining OpenAI gives us the chance to bring that belief to a new scale.”
We look forward to building the next chapter of training tools together.
via OpenAI News
