About This Session
Many people working in AI today skip the math. However, mathematics is one of the most important skill sets for anyone building AI systems. AI models, such as LLMs, are mathematical models, and understanding their structure is key to unlocking their strengths and applying them effectively to your projects. And you don’t need a PhD in mathematics. The math for AI is actually just a few core concepts, and I’m going to break them down for you and present them in an easy-to-learn way using my multimodal learning style. In this session you will learn how to think mathematically about AI so you can cut through the hype and understand what models can (and can’t) do. You’ll leave with the most critical foundational skill in AI today, mathematical intuition, and the ability to translate between math, code, and real-world AI behavior so you can build effective, scalable AI systems that can survive any bubble.
Topics
- AI Models
- Embeddings
- Reinforcement Learning
- Transformers