Tips for Building LLM Apps
The barrier to entry for AI, specifically Large Language Models (LLM), is low and we can take advantage of them in our own tools, projects, and apps. In this session, we’ll build a simple app that uses an LLM which will help us cover: The steps to using AI in a program. LLM Basics. Pick the right LLM. Data Preparation. Evals and Testing. Insights and issues to consider. Tips that you can use as you build your own. Join us for a hands-on session that will help you build your first LLM app or level up your current project!
Carlos Kidman is a Director of Engineering at Qualiti but was formerly an Engineering Manager at Adobe. He is also an instructor at Test Automation University with courses around architecture, design, containerization, and Machine Learning. He is the founder of QA at the Point, which is the Testing and Quality Community in Utah, and does consulting, workshops, and speaking events all over the world. He streams programming and other tech topics on Twitch, has a YouTube channel, builds open-source software like Pylenium and PyClinic, and is an ML/AI practitioner. He loves fútbol, anime, gaming, and spending time with his wife and kids.