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On-device ML, Generative AI | Sujith Ravi, founder of SliceX AI
Manage episode 352041348 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Sujith Ravi is the founder and CEO of SliceX AI, a platform that allows you to train and deploy AI models across devices and use cases. Previously, he founded and headed multiple ML teams at Google AI and Amazon Alexa. It spanned conversational AI, graph & deep learning, and on-device machine learning technologies. These products are used by billions of people in Search, Ads, Assistant, Gmail, Photos, Android, Cloud, and YouTube. At Google, he invented ML technologies like Smart Reply for conversational AI; Web and Image Search; On-Device ML in Android and Assistant; Neural Structured Learning in TensorFlow; Learn2 Compress for Google Cloud; and TensorFlow Lite for edge devices.
In this episode, we cover a range of topics including:
- How to build ML products
- How to deploy ML on edge devices
- Key constraints of on-device ML
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--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
171 episodes
Share
Manage episode 352041348 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Sujith Ravi is the founder and CEO of SliceX AI, a platform that allows you to train and deploy AI models across devices and use cases. Previously, he founded and headed multiple ML teams at Google AI and Amazon Alexa. It spanned conversational AI, graph & deep learning, and on-device machine learning technologies. These products are used by billions of people in Search, Ads, Assistant, Gmail, Photos, Android, Cloud, and YouTube. At Google, he invented ML technologies like Smart Reply for conversational AI; Web and Image Search; On-Device ML in Android and Assistant; Neural Structured Learning in TensorFlow; Learn2 Compress for Google Cloud; and TensorFlow Lite for edge devices.
In this episode, we cover a range of topics including:
- How to build ML products
- How to deploy ML on edge devices
- Key constraints of on-device ML
- AI-powered content generation
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
171 episodes
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Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
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