Notice: file_put_contents(): Write of 4359 bytes failed with errno=28 No space left on device in /var/www/tg-me/post.php on line 50

Warning: file_put_contents(): Only 4096 of 8455 bytes written, possibly out of free disk space in /var/www/tg-me/post.php on line 50
科技圈🎗在花频道📮 | Telegram Webview: TestFlightCN/32105 -
Telegram Group & Telegram Channel
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



tg-me.com/TestFlightCN/32105
Create:
Last Update:

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

BY 科技圈🎗在花频道📮


Warning: Undefined variable $i in /var/www/tg-me/post.php on line 283

Share with your friend now:
tg-me.com/TestFlightCN/32105

View MORE
Open in Telegram


在花软件新闻投稿频道 Telegram | DID YOU KNOW?

Date: |

The lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.

At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?

在花软件新闻投稿频道 from us


Telegram 科技圈🎗在花频道📮
FROM USA