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 follow-up to the previous “Introduction to AI/ML/LLM for Humanities and Social Science” workshop builds upon the skills and techniques of using and implementing AI to discuss the technology’s social, ethical, and political ramifications, along with guidelines to using AI for research and teaching. The workshop will address critical ethical concerns surrounding AI, including bias, the network...
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...