Online Training

Generative AI For Users

Investigating practical uses, limitations and developing a roadmap for deployment

Tuesday, 23 & 30 April 2024

10:00am - 2:30pm AEST

Next intake: Tuesday, 23 & 30 April 2024 | 10:00am - 2:30pm AEST

Overview

In today’s fast-paced digital era, unlocking the potential of Generative AI is a game-changer for governments aiming to innovate and optimise operations. This course provides a deep dive into Generative AI, covering applications, potential, and best practices.

Participants will gain expertise in foundational knowledge, including understanding ChatGPT and using Large Language Models. A substantial focus is dedicated to establishing and managing a Generative AI Lab, offering tools and strategies for seamless integration into government operations.

Who Should Attend?

This course is designed for Heads, Directors, Managers, Leads, Advisors, Specialists:
Business Operations, Business Transformation, Change Management
Marketing, Technology, Innovation, Strategy
Customer Experience/Engagement, Product, Shared Services
Data & Analytics, Digital

Learning Outcomes

Grasp the applications, limitations, and effective use of Generative AI for streamlined knowledge work automation, enhancing operational efficiency.
Elevate tasks like research, creativity, reasoning, strategic thinking, and design, boosting productivity and output quality.
Acquire techniques to efficiently produce diverse long-form content, utilising Generative AI for high-quality output.
Explore diverse adoption pathways to construct a Generative AI roadmap, incorporating project implementation and process reengineering for optimal integration.

Online Training

Generative AI For Users


Session details

  • Highlights Generative AI’s role in government innovation.
  • Imparts foundational knowledge and practical skills.
  • Equips for seamless integration into government operations.
View course modules

Level: Fundamentals

No previous experience necessary

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This course requires 1 credit.

Key Sessions

Generative AI, LLMs and ChatGPT 

  • Introduction to ChatGPT 
  • Capabilities of LLM Chatbots 
  • Limitations of LLM Chatbots 
  • LLM as a concept management tool 
  • Concepts and style 
  • Demo: Observe how an LLM can be used to extract concepts, edit and reorganise concepts, and re-write style of words    

The need for human evaluations 

  • Tips for writing a prompt 
  • Undirected vs directed prompting 
  • One-shot prompts vs conversations 
  • Identifying Generative AI use cases with PRIRASP 
  • Demo: Write prompts and learn the difference between directed and undirected prompting – where directed prompting adds concepts 
  • Exercise: Identify where you can apply Generative AI in your tasks 

Learning to delegate to AI 

  • The general form of a prompt working with problem background 
  • Input data 
  • LLM instructions 
  • Managing constraints 
  • Output formats  
  • Style/Tone of voice 
  • Explore how to create a prompt from the parts of a general form of a prompt to solve common business tasks 

Adoption Pathways for Building a Generative AI Roadmap 

  • Understanding the 5 Generative AI transformation capabilities (Generative AI use cases identification, prompt engineering, Generative AI vendor fitness, training, PQA assessments) 
  • Understanding various deployment strategies including AI powered projects, process reengineering, pilot programs, training, change management 
  • Developing governance structures, policies and procedures to manage ongoing transformation 
  • Developing a tailored transformation roadmap 
  • Group Discussion 

Conversation Optimisation 

  • Concept editing 
  • Concept stuffing 
  • Goal divergence 
  • Concept referencing 
  • Conversation management techniques 
  • Demo: Learn how to design a conversation to fulfil a goal 
  • Execute the designed conversation to fulfil the goal and watch for concept stuffing and goal divergence 
  • Build new ideas and reason with ChatGPT 

Generating Long-Form Content with Generative AI  

  • Understanding structural slot filling 
  • Managing style and tone of voice and hyperbole 
  • Demo: Writing presentations, white papers and books with ChatGPT 

How to design a CoLab 

  • What to use CoLabs for co-design prompts and prompt kits 
  • Building a CoLab brief 
  • Delivering a CoLab 
  • Process reengineering with CoLabs 
  • Project delivery using CoLabs 
  • Demo: CoLab demonstration, designing a new service with ChatGPT 

Running a Generative AI Lab for ongoing Transformation 

  • Learn how to build a Gen AI Lab to manage the ongoing use and adoption of Generative AI to transform an organisation’s operation 
  • This session includes Gen AI app reviews and use case identification, managing a prompt library, running and interpreting PQA assessments, developing a change management, coaching and support program, designing & running CoLabs, when to outsource, running pilot programs for high-risk use cases 
  • Group Discussion 

Meet Your Facilitator

Carl Gribble

Co-Founder, Dorothi AI

Meet Carl Gribble, an award-winning customer experience consultant and the Director of Prompt Engineering at Dorothi AI. With a career collaborating with industry giants like IBM and Microsoft, Carl pioneers the use of emerging technologies to enhance productivity and customer experience. His recent work involves leveraging ChatGPT for faster and superior knowledge work production.

Committed to assisting organisations in discovering Generative AI applications, Carl designs seamless integration programs. Gain insights from Carl’s expertise to unlock the transformative potential of Generative AI within your organisation.

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