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OpenAI揭秘GPT-4.5训练:10万块GPU,几乎全员上阵,有出现过“灾难性问题”

OpenAI近日披露了一些GPT-4.5研发细节,训练耗时两年,动用10万块GPU,几乎全员参与。过程中遭遇基础设施故障、隐藏Bug等问题,团队不得不“边修边训”。

模型性能较GPT-4提升约10倍,智能增强效果超出预期。OpenAI发现,未来突破关键在于数据效率,而非算力。系统架构正转向多集群,未来或需千万级GPU协作。

团队还分享了数据长尾效应与Scaling Law的关系,以及算法与系统协同设计的经验。GPT-4.5的成功验证了Scaling Law的长期有效性。

完整分享内容YouTube

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OpenAI揭秘GPT-4.5训练:10万块GPU,几乎全员上阵,有出现过“灾难性问题”

OpenAI近日披露了一些GPT-4.5研发细节,训练耗时两年,动用10万块GPU,几乎全员参与。过程中遭遇基础设施故障、隐藏Bug等问题,团队不得不“边修边训”。

模型性能较GPT-4提升约10倍,智能增强效果超出预期。OpenAI发现,未来突破关键在于数据效率,而非算力。系统架构正转向多集群,未来或需千万级GPU协作。

团队还分享了数据长尾效应与Scaling Law的关系,以及算法与系统协同设计的经验。GPT-4.5的成功验证了Scaling Law的长期有效性。

完整分享内容YouTube

📮投稿 ☘️频道 🌸聊天

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