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

Pinecone Vercel Starter Template and RAG - Live Code Review Part 2
Pinecone via YouTube Will LLMs Kill Search? The Future of Information Retrieval
Aleksa Gordić - The AI Epiphany via YouTube RAG But Better: Rerankers with Cohere AI - Improving Retrieval Pipelines
James Briggs via YouTube Advanced RAG - Contextual Compressors and Filters - Lecture 4
Sam Witteveen via YouTube LangChain Multi-Query Retriever for RAG - Advanced Technique for Broader Vector Space Search
James Briggs via YouTube