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Text Generation for Applications Using Gen AI Studio

Learn how to leverage the use of text generation models, master prompt creation and fine-tuning, and incorporate them into your own applications using Gen AI Studio on Vertex AI.

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1 day course
Supporting material
Private
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Generative AI is being used to develop new products and services – such as personalised marketing communications, chatbots for interacting with customers, and virtual assistants – across multiple industries.

On this course, you’ll explore the use of text generation models using Gen AI Studio on Vertex AI, and learn how to incorporate those models into your application using the PaLM API and client libraries. You’ll learn how to design and tune prompts to ensure the best outputs for your applications and discuss how to fine-tune foundational models to improve model output quality.

This Text Generation for Applications Using Gen AI Studio course is available as a private training session that can be delivered via Virtual Classroom, at our training centre in The Shard, or at a location of your choice in the UK.

Course overview

Who should attend:

This course is for developers looking to leverage Generative AI in their applications, and machine learning practitioners who are supporting the development of GenAI-powered applications.

What you'll learn:

By the end of this course, you will be able to:

  • Understand Vertex AI generative AI options for your applications
  • Explore Gen AI Studio to interact with foundation models
  • Design and tune chat prompts for your Generative AI use cases
  • Implement the PaLM API into your applications using the Python SDK
  • Fine-tune foundation model weights to improve model output quality

Prerequisites

To get the most out of this course, you should have a basic understanding of either programming in Python or leveraging APIs in applications.

Basic familiarity with Google Cloud and Vertex AI as covered in the Google Cloud Fundamentals: Big Data and Machine Learning course is also required.

Course agenda

Module 1: Generative AI on Vertex AI
  • Vertex AI on Google Cloud
  • Generative AI options on Google Cloud
  • Introduction to the course use case (text generation)
Module 2: Gen AI Studio
  • Introduction to Gen AI Studio
  • Available models and use cases
  • Designing and testing prompts in the Cloud Console
  • Data governance in Gen AI Studio
  • Lab: Getting started with Vertex AI, Gen AI Studio's User Interface
Module 3: Prompt Design
  • Why is prompt design so important?
  • Zero-shot vs. few-shot prompting
  • Providing additional context and instruction-tuning
  • Best practices
  • Lab: Question Answering with Generative Models on Vertex AI
Module 4: Implementing the PaLM API
  • Lab: Getting Started with the Vertex AI PaLM API & Python SDK
  • Introduction to the PaLM API
  • Utilising generative models using the Python SDK
  • Understanding model parameters for text generation
  • Lab: Use the PaLM API to integrate GenAI into Applications
Module 5: Fine-tuning Models
  • Scenarios to use model tuning
  • Workflow for model tuning
  • Preparing your model tuning dataset
  • Create a model tuning job
  • Loading a tuned model
  • Demo: Fine-tuning models for your specific use case
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