All that is under the Sun
“Remembrance of things past is not necessarily the remembrance of things as they were.” Marcel Proust Memory. It shapes our identities, informs our decisions, and—if you believe the ancient Greeks—steers our destinies. Yet for all its importance, memory can be a fickle thing. We humans can remember a childhood phone number for decades, yet blank …
Have you ever noticed how your brain effortlessly maps out the fastest route to work—or zeroes in on the murderer halfway through a mystery novel? That’s reasoning in action: the invisible yet powerful mental machinery we use to draw conclusions, make decisions, and understand the world. Now, imagine machines doing the same thing. In recent …
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 …
Dive deep into Retrieval-Augmented Generation (RAG) models. Understand their architecture, implementation with LlamaIndex, and diverse applications Picture this: a computer that can write like a person, but with the superpower of reading through a whole library in seconds to give the best answers possible. Welcome to the world of Retrieval-Augmented Generation or RAG for short. …
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 …
“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 …