In this video we will set up a Docker repository in Google Cloud Artifact Registry to push our container images.

Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

GitHub → https://goo.gle/multimodal-rag
More examples of RAG on Google Cloud → https://goo.gle/4ggR83f
What is Retrieval-Augmented Generation (RAG) → https://goo.gle/3E6Z8X1

This video is an introduction to Multimodal Retrieval-Augmented Generation (RAG), a system that uses large language models (LLMs) and vector databases to answer questions based on context from both text and images. Watch along and learn the process of building a multimodal RAG system, enabling you to enhance search capabilities and retrieve comprehensive answers to complex questions.

More resources:
More assets for Gemini on Google Cloud → https://goo.gle/4gjsVJF

Watch more AI Guide for Cloud Developers → https://goo.gle/AtoZforAI
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #AIforDevelopers

Speaker: Lavi Nigam
Products Mentioned: Gemini

Google AI Studio is the fastest way to start building with Gemini, Google’s next generation family of multimodal generative AI models. Explore what is possible with the 2 million token context window or grab your API key and start integrating Gemini models into your apps. Get started with tutorials on our channel Google Cloud Tech.


Speaker: Katie Barnett
Products Mentioned: Google Data Studio, Gemini

Want to build chatbots, analyze videos, or generate creative text for marketing? Google AI Studio is your playground for building with AI. Experiment with different models, explore prompts, and fine tune models - all without needing to program.

#GoogleCloud #DevelopersAI

Speaker: Paige Bailey
Products Mentioned: Google AI Studio, Gemini

Google AI Studio → https://goo.gle/3NCInEx
Quickstart guide → https://goo.gle/3Y4isdK

What is Google AI Studio and how does it work? Join Googler Paige Bailey as she explores how to get started with Google AI Studio to build with generative AI for beginners.

Watch more Generative AI Experiences for Developers → https://goo.gle/genAI4devs
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #DevelopersAI

Speaker: Paige Bailey
Products Mentioned: Google AI Studio, Gemini

Gen AI evaluation service overview → https://goo.gle/4jrdUIm
Notebooks → https://goo.gle/4jC1bTw
How to evaluate generated answers from RAG at scale on Vertex AI? → https://goo.gle/4aCsHvP

Creating a successful Generative AI application goes beyond simply calling a model. Learn how to evaluate your AI creations on Vertex AI to ensure they're reliable, effective, and provide the best possible user experience.

More resources:
How to evaluate LLMs with custom criteria using Vertex AI AutoSxS → https://goo.gle/4hynOWR

Watch more AI Guide for Cloud Developers → https://goo.gle/AtoZforAI
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #AIforDevelopers

Speaker: Ivan Nardini
Products Mentioned: Vertex AI

Head to AI Studio to get started → https://goo.gle/3NCInEx
AI Studio quickstart → https://goo.gle/3Y4isdK

Learn to build an AI-powered recipe generator with Google AI Studio! This tutorial shows you how to use image inputs and system prompts to create an app that suggests low-carb meals based on the ingredients in your fridge. We'll cover: - Building prompts with Google AI Studio - Comparing Gemini models - Generating code for your own apps.

Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #DevelopersAI

Tuning Embeddings on Vertex AI → https://goo.gle/3P68eFR
Tune text embeddings → https://goo.gle/42wsZ5n
GitHub → https://goo.gle/3ZMnWuF

Learn how to enhance information retrieval in your GenAI applications by tuning embeddings on Vertex AI. Watch along and discover how to create highly relevant search experiences by tuning embeddings, improving the accuracy of your AI models.

Watch more AI Guide for Cloud Developers → https://goo.gle/AtoZforAI
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #AIforDevelopers

Speaker: Ivan Nardini
Products Mentioned: Vertex AI

Unlock faster GPUs, more memory, and extended runtimes with Google Colab Pro, Pro+, and Enterprise. Join Paige Bailey on our channel as she explores the benefits of each tier and helps you choose the best option for your machine learning projects.

#GoogleCloud #DevelopersAI

Speaker: Paige Bailey
Products Mentioned: Google Colab

Getting started notebook → https://goo.gle/3YjffYe
Signup link → https://goo.gle/4h8WDma

Join Googler Paige Bailey as she explores the paid tiers of Google Colab: Pro, Pro+, and Enterprise. Discover the advantages of each tier, including faster GPUs, extended runtimes, background execution, and seamless integration with Google Cloud services. Optimize your Colab experience for enhanced productivity today.

Watch more Generative AI Experiences for Developers → https://goo.gle/genAI4devs
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #DevelopersAI

Speaker: Paige Bailey
Products Mentioned: Google Colab