This training session aims to equip participants with the skills and knowledge necessary to effectively work with AI models, focusing on prompt engineering and agent-based AI. The session will introduce various tools and strategies, provide hands-on experience with real-world use cases and cover common pitfalls,.
IMPORTANT: bring your own device (laptop, tablet) with preinstalled LLMs (e.g. ChatGPT, Gemini, ...)
Come join us for an exciting time where you'll get to experience how to get better at prompt engineering and make the most of AI tools! This in-person event will be held at TNO - Locatie Geleen - Brightlands Materials Center.
The session will cover five real-world use cases for prompt engineering
Throughout the session, participants will be shown pattern strategy examples, highlighting the benefits and challenges of these approaches. The different teams will have to apply the pattern strategies immediately using a use case of their choice. Pitfalls: One Shot - Agent AI: One of the common pitfalls in AI development is the "one-shot" approach, where a model is trained on a single task or dataset and expected to perform well on all subsequent tasks. However, this approach can lead to poor performance and limited generalizability.
The session will introduce participants to a range of tools and platforms used in prompt engineering and agent-based AI, including popular libraries and frameworks. Some of the tools that will be covered include: ChatGPT, Claude. Perplexity
Participants will be equipped to apply these skills and knowledge to real-world problems and projects, and will have a solid foundation for further learning and exploration in this exciting and rapidly evolving field.
