In this workshop you will learn both the art and the science of crafting LLM prompts for generative AI models to elicit accurate and relevant results. You will also learn how to improve your model's reasoning (and reduce hallucinations) by using external information sources to get context-aware outputs from relevant and factual datasources. There will...
This workshop explores how human-centered UX design can support the integration of AI into research-focused mobile applications. We’ll examine how AI features, such as Retrieval-Augmented Generation (RAG) and agentic assistants, can enhance participant engagement, improve data quality, and facilitate efficiency. You'll gain insight into how the UX design process applies to AI - from early...
Are you interested in using LLMs for research? In this 90 minute hands-on workshop, you will learn how to install and deploy an open-source LLM on your local environment, create a Retrieval Augmented Generation (RAG) model with visual builders from Diffy and AWS Bedrock and learn prompt-engineering techniques to reduce the occurrence of hallucination and...