Practical on-device AI for web developers
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52 дня – 2 9480:45Опубликовано 16 мая 2024, 14:08
With new capabilities landing in the browser, it's becoming possible to run AI and machine learning workloads on the client side – which can drive latency, cost, and privacy wins. We'll take you through real-world use cases and discuss when on-device AI is the right choice. We'll show how new web capabilities in Wasm and WebGPU are enabling even more use cases. Finally, we’ll talk about remaining challenges, and share some early thinking to kickstart a collaborative effort.
Learn more → goo.gle/chrome-ai-dev-preview
Speakers: Maud Nalpas, Kenji Baheux
Watch more:
Check out all the Web videos at Google I/O 2024 → goo.gle/io24-web-yt
Check out all the AI videos at Google I/O 2024 → goo.gle/io24-ai-yt
Subscribe to Google Chrome Developers → goo.gle/ChromeDevs
#GoogleIO
Event: Google I/O 2024
Products Mentioned: Gemini
Learn more → goo.gle/chrome-ai-dev-preview
Speakers: Maud Nalpas, Kenji Baheux
Watch more:
Check out all the Web videos at Google I/O 2024 → goo.gle/io24-web-yt
Check out all the AI videos at Google I/O 2024 → goo.gle/io24-ai-yt
Subscribe to Google Chrome Developers → goo.gle/ChromeDevs
#GoogleIO
Event: Google I/O 2024
Products Mentioned: Gemini
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