We will build an application that most of you can likely relate to: A conversational bot that can track grocery purchases for you. While this might sound trivial right off the bat, along the way, we get to touch on and experience a lot of important topics.
At the end of the evening, we should be able to leave the hype machine running in the background and have a much more solid grasp on what the challenges involved in building applications delegating and augmenting core logic to LLMs are.
This is a workshop intended for anybody who is comfortable coding. We will be using LangChain with OpenAI's API. The example code will be provided using Spring Boot. The fundamental issues and abstractions don't change whether you use TypeScript, Python, Golang, Kotlin, or Java, and I don't have strong opinions. Realistically though, you should stick to the repository and with that Kotlin. That way we'll get to bypass all setup-ceremony and can cut straight to the bone.
https://github.com/Kl4rity/ai-engineering-workshop
With that being said, you will need the following:
Introduction: 0:15 h
Coding: 2:30 h
Sharing: 0:15 h
🍷&🍺: 🤷
This is an event amongst peers sharing knowledge to build and nourish a community. Let's make it great together. A bottle of wine or a couple of beers is a good start as a contribution. 😃
LLMs are all the rage. Everybody talks about them, how they will change the industry, even the world. Yet few of us get to work with them in practice on a day-to-day basis. The goal of this workshop is to get your hands dirty with some AI Engineering. We'll take a simple idea and continue adding features to it to force an escalation in complexity until the time runs out.
Duration: ~3 hours
Location: SQUER Solutions Vienna
Capacity: 8 people
Time: 27.05.2025 - 18:00 to 21:00
I'm always open to discuss all things product and engineering. Feel free to get in touch!
Let's chat