YouTube video transcription
Transcribe YouTube videos to text with AI
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ML Summit 2026 — The future of on-device inference
Two main advantages discussed:
- 7B-parameter models can now run on phones with acceptable latency thanks to quantization advances (Dr. Wei C.)
- On-device inference keeps user data local, eliminating cloud dependency — critical for healthcare and finance (Dr. Wei C.)
Welcome to the ML Summit. Today we're discussing on-device inference. Dr. Wei, what's changed in the last year?
The biggest shift is quantization. We can now run 7-billion-parameter models on a phone with acceptable latency.
What does that mean for privacy? If the model runs locally, user data never leaves the device?
Exactly. On-device inference eliminates the need to send sensitive data to the cloud. That's a game-changer for healthcare and finance.
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Speaker diarization
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Who it's for
Students and researchers
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