YoVDO

Unlocking Innovative Generative AI Use Cases with Text and Multimodal Embeddings

Offered By: Google Cloud Tech via YouTube

Tags

Embeddings Courses Recommender Systems Courses Vector Databases Courses Generative AI Courses Semantic Search Courses Retrieval Augmented Generation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the power of embeddings in generative AI applications through this 32-minute conference talk from Google Cloud Tech. Learn about critical architectural patterns for using embeddings, their integration with vector databases, and the potential of multimodal embeddings. Discover how to unlock innovative use cases such as semantic search, recommender systems, content classification, and retrieval augmented generation. Gain insights from speakers Anand Iyer and Eric Poff as they introduce Verve and discuss embedding tuning techniques. Enhance your understanding of this crucial component in building cutting-edge AI solutions for commercial applications.

Syllabus

Intro
Demo
Introducing Verve
Retrieval Augmented Generation
Embedding Tuning


Taught by

Google Cloud Tech

Related Courses

Introduction to Recommender Systems
University of Minnesota via Coursera Text Retrieval and Search Engines
University of Illinois at Urbana-Champaign via Coursera Machine Learning: Recommender Systems & Dimensionality Reduction
University of Washington via Coursera Java Programming: Build a Recommendation System
Duke University via Coursera Introduction to Recommender Systems: Non-Personalized and Content-Based
University of Minnesota via Coursera