Generative AI with Google Cloud: Getting Started with Vertex AI Model Garden

Vertex AI Model Garden is your one-stop-shop to over 100 cutting edge LLMs and task-specific models, from Google's own Palm 2 to open-source models like Llama 2 and Stable Diffusion.

Even if you've never deployed or managed a model before, Vertex makes it simple for any developer to find, deploy, and maintain foundation models.

In this session, we'll explore:
Key features of Vertex AI Model Garden
How to find the best model for your use case
How to deploy your model to an endpoint you can easily integrate into your applications

03:54 Google's first party foundation models
07:34 Introduction to Vertex AI Model Garden
12:58 Tune models to fit your use case
20:28 Demo walkthrough of Llama 2 on Google Cloud
32:21 Managing your models with MLOps
38:30 Multi-task models and prompting
39:47 Selecting pre-trained models and prompting
41:30 Customization with tuning and curated data
44:30 Managing new artifacts
46:26 Evaluating and monitoring generated output
48:59 Connecting to Enterprise data
54:04 Three building blocks to support the Gen AI evaluation service
56:59 Safety bias evaluation
57:30 Summarization of building your MLOps strategy for Generative AI
1:00:24 Q&A

Resources:
Generative AI for Developers Learning Path: https://www.cloudskillsboost.google/p...
Explore and Evaluate Models using Model Garden: https://www.cloudskillsboost.google/f...
Join, learn, and engage with the Google Cloud Community: https://goo.gle/cloud_community