ဤအပိုင်းအကြောင်း
Song Han is an associate professor in Electrical Engineering and Computer Science whose research focuses on efficient AI computing. His work spans high-resolution computer vision for autonomous vehicles, more efficient image generation, improved GPT performance, and novel methods for training machine learning models. He also leads the Efficient AI team at NVIDIA Research, focused on optimizing GPU-accelerated AI systems.
Show notes and transcript:
https://news.mit.edu/podcast/podcast-curiosity-unbounded-episode-18-inside-efficient-ai-gpus-gpts
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ပြီးခဲ့သည့် အပိုင်းများကို ရှာဖွေပါ
Curiosity Unbounded ၏ ယခင်အပိုင်းများကို ရှာဖွေပါ
ဤ PODCAST တွင် အခြားသော အပိုင်းများ
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မသက်ဆိုင်ကြောင်းရှင်းလင်းချက်: ဤစာမျက်နှာပေါ်တွင် ထည့်သွင်းထားသော ပေါ့တ်ကာစ်နှင့် အနုပညာလက်ရာများသည် ၎င်း၏ပိုင်ရှင်၏ပိုင်ဆိုင်မှုဖြစ်သည့် Massachusetts Institute of Technology (MIT) မှဖြစ်ပြီး Listen Notes, Inc နှင့် ဆက်နွှယ်ခြင်း သို့မဟုတ် ထောက်ခံထားခြင်းမရှိပါ။
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ပေါ့ဒ်ကတ်စ် ဒေတာဘေ့စ်ကို နောက်ဆုံးပေါ်အချိန်နှင့်တပြေးညီဖြစ်စေရန် ကူညီပေးသည့်အတွက် ကျေးဇူးတင်ပါသည်။
