From Gradients to ChatGPT (mister-meeseeks.github.io)

A new self-study course titled "From Gradients to ChatGPT" has been launched, allowing participants to build a small-scale language model stack and a functional chat assistant entirely on an M-series MacBook, without relying on cloud resources. The course emphasizes understanding the underlying mechanics of large language models (LLMs) from first principles, guiding learners through twenty modules that cover everything from scalar autodifferentiation and tensor operations to advanced topics like attention mechanisms and model deployment. By the end, participants will have created a functioning chat assistant that integrates various components they've designed. This initiative is significant as it addresses a knowledge gap within the AI/ML community, where many users interact with LLMs without grasping their foundational elements. By enabling hands-on learning with manageable resources, the course demystifies LLMs and empowers individuals to comprehend and implement advanced AI systems. It caters to both beginners and those familiar with Python, calculus, and linear algebra, providing a structured curriculum that combines theoretical lessons with practical coding exercises, ultimately fostering a deeper appreciation for the complexities of AI development.