Build, tune, and deploy foundation models with Vertex AI

Key Takeaways

[Music] with Google Cloud you can harness the power of generative AI without being an expert in machine learning now with generative AI support and vertex AI developers and data scientists can easily use customize and deploy Foundation models to production this enables a new era of applications that can synthesize respond and create transforming how people interact with technology across every industry let me show you an example alright I'm going to build an application for my marketing team that can generate custom copy and images for symbol a fictional company first I'll create a custom large language model for healthy snacks one of the symbol brands this will serve as the backbone of content generation in vertex AI there is a new model Garden where I can select from a variety of models including Foundation models built by Google open source models and even third-party models next I tune my model to create a custom llm for my use case for extensive training I can select fine tune this results in changes to the model's weights and is a great option for data scientists who need to produce outputs with specialized results like legal or medical vocabulary but since I'm creating a simple marketing app for Content generation that's not necessary I just tuned the model in the simple tuning interface I upload some of my company data using documents that were written in the brand voice like press releases tweets and blog posts my uploaded data is stored in my company's environment so I know that it's protected I know that Google will only use my data with my permission and for the tasks that I specify after I've customized the model I can test it and ensure that I'm getting the results that I want without leaving vertex Ai and this allows me to iterate quickly I deployed my model to get a custom API endpoint that will make it easy to use this in a marketing app the marketing application also needs to generate and edit images so that every social post has a picture so we'll also deploy an image model via an API vertex ai's managed endpoints make it easy to build this into my application with only a few lines of code just like any other Google Cloud API I don't need to worry about the complexities of provisioning storage and compute resources or of optimizing the model for inference it all just works with vertex ai's developer friendly tools you've seen how easy it is to customize and deploy Foundation models at scale now let's take a look at this type of application in action we'll build a campaign for simple healthy snacks highlighting the ingredients of its most popular granola bar generative AI makes Simple Text prompts really powerful for example with a simple prompt I can describe the image I would like add a sentence or two about the desired content click generate and here we go with the power of generative AI I now have custom Social Media blog and email campaign posts that I can use across my marketing channels from there I can refine further I can edit my image I can make changes to content and I can make text edits directly I select the pairing of the image and text that I like and done the application we built with vertex ai's new generative AI capabilities has made it possible for business users to create a marketing campaign in minutes with vertex AI developers can build applications that will transform every industry learn more at cloud.google.com AI