X-TALKS Podcast: Cleaning Robots vs Humans: Who Cleans Better? with Markham Johnson
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Another week, another AI release. This one is pretty cool
Google has released a new web platform API and browser feature designed to integrate AI models, including large language models (LLMs), directly into the browser. They’ve called it Built-In AI. With built-in AI, your website or web application can perform AI-powered tasks without needing to deploy or manage its own AI models.
So what are some of the benefits and when should you use it?
Benefits of built-in AI for web developers
With built-in AI, your browser provides and manages foundational and expert models. Compared to on-device DIY AI, built-in AI offers several advantages:
Ease of Deployment: The browser distributes and updates the models, considering the device's capabilities. This means you don't need to download or update large models yourself, nor worry about storage, runtime memory, serving costs, and other complexities.
Access to Hardware Acceleration: The browser's AI runtime is optimised to leverage the available hardware—whether it's a GPU, NPU, or CPU. This ensures your app achieves the best possible performance on each device.