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Google describes EmbeddingGemma 2 tasks for on-device video search and routing in AI Edge

3 articles1 sourcesince Oct 12Last article 1h ago ·

Overview

AISummary of 3 articles

Google for Developers says developers building with EmbeddingGemma 2 in Google AI Edge need no custom code for complex data matching.

It says MediaPipe Tasks, part of the AI Edge suite, handles image resizing, tokenization, and search ranking so apps can retrieve exact video timestamps in milliseconds.

A separate post says MediaPipe's new Decision Task, powered by EmbeddingGemma 2, classifies multimodal inputs for routing or action prediction in under 100 milliseconds. Google says the task needs no fine-tuning and links developers to the Google AI Edge Gallery and documentation to try it.

Written by AI from the articles below · updated Oct 12, 6:03 PM ET

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Developments

2 developments

  1. Oct 12, 5:46 PM ET · 2 articles
    Google announces MediaPipe Decision Task using EmbeddingGemma 2 for on-device multimodal routing
    Google for Developers: Google's MediaPipe Decision Task uses EmbeddingGemma 2 for sub-100ms routing
  2. Oct 12, 5:45 PM ET · 1 article
    Google for Developers shows building with EmbeddingGemma 2 in Google AI Edge for on-device video timestamp retrieval
    Google for Developers: EmbeddingGemma 2 in Google AI Edge enables on-device video timestamp retrieval

Article timeline

The articles in this story. Times are ET.

Oct 12
  1. Google for DevelopersOfficial
    MediaPipe Decision Task uses EmbeddingGemma 2 for sub-100ms classification

    AIGoogle's MediaPipe Decision Task uses EmbeddingGemma 2 to classify multimodal inputs for routing or action prediction in under 100 ms without fine-tuning. The post links to documentation for developers to try the feature.

    Video from @googledevs's post
  2. Google for DevelopersOfficial
    Google's MediaPipe Decision Task uses EmbeddingGemma 2 for sub-100ms routing

    AIMediaPipe's new Decision Task uses EmbeddingGemma 2 to classify multimodal inputs for routing or action prediction in under 100 milliseconds. The task needs no fine-tuning, according to Google, which points developers to the Google AI Edge Gallery to experiment with it.

    Video from @googledevs's post
  3. Google for DevelopersOfficial
    EmbeddingGemma 2 in Google AI Edge enables on-device video timestamp retrieval

    AIGoogle says developers building with EmbeddingGemma 2 in Google AI Edge need no custom code for complex data matching. MediaPipe Tasks, part of the AI Edge suite, handles image resizing, tokenization, and search ranking so apps can retrieve exact video timestamps in milliseconds.

    Video from @googledevs's post

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