Interactive Chat 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 interactive multi-turn chat 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 test chat prompts to ensure the best outputs for your applications and discuss how to choose parameters for the PaLM API to improve response quality for your use case.
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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 chat prompts for your Generative AI use cases
Understand the effect of changing PaLM API parameters on model responses
Implement the PaLM API into your applications using the Python SDK
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 (Interactive Chat)
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, one-shot and few-shot prompting
Providing additional context and examples
Best practices
Lab: Prompt Design for Multi-turn Chat in Gen AI Studio
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 multi-turn chat
Lab: Use the PaLM API to add a chatbot to your application
Module 5: Model Parameters and Output
Revisit model parameters for chatbots
Optimising model parameters for different use cases
Model output and Responsible AI
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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