The Matrix Mathematics Behind AI: How LLMs Think Through Linear Algebra

Author(s): MahendraMedapati

Originally published on Towards AI.

🚀 The Hidden Language of AI

Imagine you’re chatting with ChatGPT, and it responds with a perfectly crafted poem or solves a complex coding problem in seconds. What’s happening under the hood? The answer might surprise you: it’s all matrices and vectors performing billions of mathematical operations.

The article explores the foundational role of matrix multiplication in artificial intelligence, illustrating how all thoughts and predictions of AI can be traced back to this mathematical operation. It covers why understanding this concept is crucial for anyone involved in AI development, decision-making, or any interested party. The text breaks down the steps of matrix multiplication, highlights its importance in transforming data, and discusses various practical implementations, such as the use of activation functions like ReLU, which enable deep learning models to make complex decisions. It emphasizes not only the theoretical underpinnings but also practical tips for building and experimenting with AI models, making it clear that mastering matrix operations is essential for engaging meaningfully with AI technology.

Read the full blog for free on Medium.

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Published via Towards AI