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

Video Description

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/paths/183 Explore and Evaluate Models using Model Garden: https://www.cloudskillsboost.google/focuses/71950?parent=catalog Join, learn, and engage with the Google Cloud Community: https://goo.gle/cloud_community