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Manou Mhd

manoumhd99
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reacted to FreshmanD's post with 🚀 4 days ago
LoongFlow Big News!!! @all We’ve put AI Agents into a production GPU cluster to handle GPU failure prediction. Not as a demo. Not as AutoML. But as an evolving system that designs and improves its own models. On two GPU types: – IT21HMDB01-B2: +30% prediction accuracy – H800: +25% prediction accuracy The resulting models already meet production standards and are being wired into the ops pipeline. How it works: • An ML agent designs the full ML pipeline from scratch • A Math agent performs targeted evolutionary optimization • The agents explore, discard, and iterate toward better modelsHumans don’t hand-tune parameters. This is not offline analysis. GPU failure prediction means: • heavy assets • real incidents • real operational risk The agents now trigger maintenance before failures happen. This feels like an early signal: AI agents are starting to take responsibility for infrastructure-level engineering decisions in production systems. For ML Agent, you can check: https://github.com/baidu-baige/LoongFlow
liked a model 18 days ago
microsoft/VibeVoice-ASR
liked a model 3 months ago
ibm-granite/granite-speech-3.3-8b
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manoumhd99 (Manou Mhd)
Hugging Face's logo
Manou Mhd's picture
5 22

Manou Mhd

manoumhd99
Theartplug's profile picture shtefcs's profile picture
·

AI & ML interests

None yet

Recent Activity

reacted to FreshmanD's post with 🚀 4 days ago
LoongFlow Big News!!! @all We’ve put AI Agents into a production GPU cluster to handle GPU failure prediction. Not as a demo. Not as AutoML. But as an evolving system that designs and improves its own models. On two GPU types: – IT21HMDB01-B2: +30% prediction accuracy – H800: +25% prediction accuracy The resulting models already meet production standards and are being wired into the ops pipeline. How it works: • An ML agent designs the full ML pipeline from scratch • A Math agent performs targeted evolutionary optimization • The agents explore, discard, and iterate toward better modelsHumans don’t hand-tune parameters. This is not offline analysis. GPU failure prediction means: • heavy assets • real incidents • real operational risk The agents now trigger maintenance before failures happen. This feels like an early signal: AI agents are starting to take responsibility for infrastructure-level engineering decisions in production systems. For ML Agent, you can check: https://github.com/baidu-baige/LoongFlow
liked a model 18 days ago
microsoft/VibeVoice-ASR
liked a model 3 months ago
ibm-granite/granite-speech-3.3-8b
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