An In-Depth Look at Group Relative Policy Optimization (GRPO)

In recent months, the DeepSeek team has showcased impressive results by fine-tuning large language models for advanced reasoning tasks using an innovative reinforcement learning technique called Group Relative Policy Optimization (GRPO). In this post, we’ll explore the theoretical background and core principles of GRPO while also offering a primer on Reinforcement Learning (RL) and its …

Read more

Advancing LLM Fine-Tuning with Group Relative Policy Optimization (GRPO)

Reinforcement Learning (RL) has become a powerful technique for fine-tuning large models, especially Large Language Models (LLMs), to improve their performance on complex tasks. One of the latest innovations in this area is Group Relative Policy Optimization (GRPO), a new RL algorithm introduced by the DeepSeek team. GRPO was designed to tackle the challenges of …

Read more

Demystifying the Confusion Matrix: A Simple Guide for Beginners

“The only confusing thing about a confusion matrix is its name. 🤔”— Inspired by my friend Raymond’s FB post When diving into the world of machine learning, one of the most crucial tasks is evaluating how well your model performs. For classification tasks (where the goal is to assign items into distinct categories), the confusion …

Read more