AI, LLM, ML, RAG… Perspective to Impact Your AI Activities

Ground your Artificial Intelligence thinking - and inspire new ideas - by understanding how the best modern Large Language Model (LLM) applications work behind the scenes.  

The discussion, for both technical and non-technical participants, will help connect the dots between business, education and engineering so you can better navigate the waves of disruptive AI technology.

We will explore the latest engineering techniques being used to solve LLM limitations, dig into RAG and touch on some future implications of LLMs on tech and the world.

Our Speaker:

Piers Concord, Principal Software Engineer

Piers Concord is a Principal Software Engineer with a background in ML engineering spanning across Finance, Health, and Hiring industries. His experiences include calibrating credit risk models at a FTSE 100 financial institution, developing AI-driven health recommendation systems for a leading digital wellness platform, and creating an AI chatbot builder to specialize an LLM on your company's data. He is currently working on AI code generation. Piers strives to merge good business sense with deep technical understanding. A colleague said Piers has, "an amazing ability to bridge the gap between his fellow engineers and product owners."

Host or Publisher Minnesota AI Community