Text Generation for Applications using Gen AI Studio
Length 1 day
Price
NZD 850 exc GST
Course overview
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Why study this course
Generative AI is being used to develop new products and services across multiple industries, such as personalised marketing communications, chatbots for interacting with customers, and virtual assistants. For example, it can also be used to create chatbots that can answer customer questions and provide customer support.
In this course, you will 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 will 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.
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What you’ll learn
This course teaches participants the following skills:
Understand Vertex AI generative AI options for your applications
Explore Gen AI Studio to interact with foundation models
Design and tune 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
Google Cloud at Lumify Work
Lumify Work is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test, and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, Lumify Work can support you through training wherever you are in your Cloud adoption journey.
This course is intended for the following participants:
Application developers leverage Generative AI in their applications and machine learning practitioners supporting the development of GenAI-powered applications.
Course subjects
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 GenAI Studio
Available models and use cases
Designing and testing prompts in the Cloud Console
Data governance in GenAI 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 cas
Prerequisites
Basic understanding of one or more of the following:
We've created this e-book to assist you on your cloud journey, from defining the optimal cloud infrastructure and choosing a cloud platform, to security in the cloud and the core challenges in moving to the cloud.
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
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