AI Fundamentals & Application
Questions You'll Answer
What are the foundational principles and technologies behind AI and LLMs?
How can AI and LLMs be leveraged to enhance public service delivery?
Should we buy vs build vs adopt?
Should we go with GovTech/OGP products, build ourselves, or approach a vendor?
What are AI agents and what are the benefits/costs of agentic workflows?
What training or skills are necessary for public sector employees to work effectively with AI?
What You'll Learn
Sort through the AI hype from the keepers
Understand the different techniques and methods to enhance your business processes with AI
Spot opportunities to do things much faster and easier with LLMs
Understand the trade-offs between buying, building, and adopting central tools
Hard Truths
The AI genie is out of the bottle, there's no return to life before it.
Given the ongoing hype train for AI, it's tempting to use AI for the sake of it, but that'd be a huge L.
Focus on solving a meaningful problem, not the hype.
AI user interfaces and workflows are not necessarily (and can often be contrary to) good UX.
Simple applications of ML might be far more useful for everyday problems, as is straightforward improvements to how we organize info, design websites instead of pushing for a chatbot.
LLMs are confident liars. They do not know facts, but instead they predict the next statistically likely word. Trusting them for factual accuracy without verification is dangerous!.
AI won't replace you; a person using AI will replace you. But only if you actually learn how to prompt it correctly.