We are a team of expert data engineers working in the fast-changing world of AI, especially in the form of Large Language Models (LLMs). We think that spreading knowledge about AI to technical and non-technical audiences is one of the most important responsibilities of anyone working in the space. We welcome you to any such talks we offer, or invite you to suggest further opportunities for education.
Come through a unique, intimidation-free learning path to get a handle on basic AI concepts, with discussion on how this new technology affects very human concerns.
AI & Creativity
Whether we are creative people ourselves or enjoy products of human creativity, from books to video to food recipes, we must wonder how AI will change a landscape that is dear to us. Follow an AI engineer who is also a literary and musical artist on a journey exploring how to think about artificial creation.
Throwing the book at language models
How do you get AI models to understand the things that make your own business or project special? How do you reduce their tendency to hallucinate? Learn at a high level why AI models misbehave the way they do, and some techniques you can use to coax AI to stick to the facts as you carefully present them.
Your first automated AI tasks
Straightforward examples for developers on how to automate AI tasks, using open-source code frameworks.
Field guide to Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG) is a well-known technique for arming AI with specific knowledge in order to support specialized tasks, and to reduce problems such as hallucination. Learn the many variations and considerations for RAG which can make the difference between project success and failure.
LLMOps 101
Full tutorial on how to incorporate AI models into technology stacks with consideration of too frequently neglected engineering topics such as quality assurance, high availability, globalization and security.
Tools and Actions for AI
AI models can increasingly perform advanced tasks using techniques called agents, function-calling, etc. Doing so is still a bit tricky, but the potential is exciting. Learn more about where AI models meet APIs.