<a href="https://cloud.google.com/blog/topics/developers-practitioners/meet-ais-multitool-vector-embeddings" rel="nofollow noopener noreferrer" target="_blank">Embeddings</a>&nbsp;are a powerful tool available to developers to build scalable, accurate search experiences. But with many embedding models and modalities available, it can be overwhelming to get started.
&nbsp;
In this session, we'll demystify embeddings for custom applications, covering:
<ul>
<li>What embeddings are and common use cases across industries</li>
<li>How to choose the best embedding model(s) for your use case and how to get started</li>
<li>A multimodal use case demo of Retail Search using Gemini&nbsp;</li>
<li>Best practices for implementing embeddings for custom applications</li>
</ul>
You&rsquo;ll also have time for live Q&amp;A, so bring your questions!&nbsp;

Embeddings are a powerful tool available to developers to build scalable, accurate search experiences. But with many embedding models and modalities available, it can be overwhelming to get started. In this session, we'll demystify embeddings for custom applications, covering: What embeddings are and common use cases across industries How to choose the best embedding model(s) for your use case and how to get started A multimodal use case demo of Retail Search using Gemini Best practices for implementing embeddings for custom applications You’ll also have time for live Q&A, so bring your questions!

Virtual / Online

Webinar / Webcast

Artificial Intelligence

Cloud Computing

Technology

State and Local Government

agency

Federal Government

Google Cloud

Generative AI with Google Cloud: Embeddings for Custom Applications