DeepSeek R1 Theory Tutorial – Architecture, GRPO, KL Divergence
About this course
This course provides an in-depth look at DeepSeek R1's advanced AI architecture, focusing on its innovative approach to reinforcement learning through Group Relative Policy Optimization (GRPO) and the integration of KL Divergence for enhanced model stability. Participants will gain practical coding experience, along with thorough mathematical explanations, as they uncover the mechanics behind this cutting-edge reasoning model.
What you should already know
Participants should have a foundational understanding of machine learning concepts and familiarity with Python programming.
What you will learn
By the end of the course, learners will understand the architecture of DeepSeek R1 and be able to implement reinforcement learning strategies, enhancing their skills in developing reasoning models.