Blog
Reinforcement Learning with Human Feedback (RLHF)
A complete and clear walkthrough of RLHF: preference collection, reward modeling, Proximal Policy Optimization (PPO), alignment challenges, math background, PyTorch snippets, diagrams, and ethics of human-AI alignment…
Read moreAugust 23, 2025
Introduction to Self-Supervised Learning
Beginner-friendly but technical guide to SSL: pretext tasks, contrastive learning (SimCLR, BYOL, SimSiam), masked modeling (MAE, BERT), CLIP, wav2vec 2.0. Includes math, NumPy/PyTorch code, diagrams, and video resources…
Read moreAugust 23, 2025
How Self-Attention Works — Visually Explained
See how self-attention lets transformers focus on the right words. A clear, visual walkthrough with matrices, equations, code, and intuition; perfect for beginners and practitioners alike…
Read moreAugust 16, 2025
Inside the Confusion Matrix: Metrics Every Data Scientist Should Know
Demystify the confusion matrix—from TP/FP/TN/FN to precision, recall, F1, ROC-AUC vs PR-AUC, MCC, κ, and calibration—plus threshold tuning, imbalanced-data tips, multi-class averaging, and hands-on scikit-learn code…
Read moreAugust 15, 2025
L2 Regularization (Ridge / Weight Decay) — A Detailed Guide
L2 regularization (ridge/weight decay) gently penalizes large weights to improve generalization. Learn the intuition, bias–variance story, Bayesian view, closed-form ridge, eigen-shrinkage, and AdamW—complete with code, plots, and tips…
Read moreAugust 14, 2025
The Complete Beginner’s Guide to Gradient Descent
Gradient descent is the algorithmic compass guiding models toward minimal error. This concise primer distills its intuition, core math, hands-on Python, and modern twists like Adam—giving you everything needed to start optimizing with confidence…
Read moreAugust 6, 2025
DeepSeek R1: A New Era of Reasoning-Centric Large Language Models
DeepSeek R1 is a groundbreaking, open-source model that highlights advanced reasoning capabilities. By leveraging a Mixture-of-Experts design and step-by-step chain-of-thought outputs, it rivals top-tier closed systems like…
Read moreMarch 3, 2025
The Transformer Architecture: Revolutionizing Natural Language Processing
Discover how the Transformer architecture has revolutionized NLP, replacing traditional models and paving the way for state-of-the-art advancements in natural language processing…
Read moreAugust 30, 2024
The Evolution of Language Models: From N-grams to Transformers
This article explores the fascinating journey of language models, from the early N-gram approaches to the revolutionary Transformer architecture, highlighting the significant milestones that have shaped the development of modern NLP systems…
Read moreAugust 30, 2024
Introduction to Language Models: What Are They and Why They Matter
Language models are foundational to modern natural language processing, enabling machines to understand and generate human language. This article explores the basics of language models, their evolution, and their significance in today's AI-driven world…
Read moreAugust 13, 2024
Mistral AI: Pioneering the AI Landscape in Europe
Mistral AI, an emergent force in the AI world, has recently made an extraordinary leap forward by securing a staggering €385 million in Series A funding. This recent influx of capital, building upon a $112 million seed round, propels the company's…
Read moreJune 30, 2023
AI-Generated Art: The Promise and Peril of Stable Diffusion
The advent of AI-generated art has brought about a paradigm shift in the art world, stirring debates about the implications of this transformative technology. At the forefront of this revolution is Stable Diffusion, a deep learning, text-to-image…
Read moreJune 30, 2023
Midjourney: Reshaping the Visual Landscape Through AI Imagination
Artificial intelligence is silently revolutionizing the cultural and artistic landscape. The ability of machine learning systems to generate imagery from text prompts has dramatically improved…
Read moreJune 30, 2023
ChatGPT: The Star of AI with New Surprises
ChatGPT continues to embody artificial intelligence for the general public. The text creation tool is even more widely known and used now. The occasional site saturation testifies to this. This enthusiasm and notoriety are due to a clever…
Read moreJune 30, 2023
DALL-E: Generation of images from texts
DALL-E is an OpenAI deep learning model that is able to create images from simple text. The first version was presented in 2021, and just a few weeks ago, OpenAI presented DALL-E v2, an improved and even more bluffing (or scary?) version…
Read moreOctober 9, 2022
Hugging Face: What you need to know!
When working on a Machine Learning problem, improving an existing solution and reusing it can help you find high performance solutions much faster. Using existing models is not only beneficial for data scientists, but also for companies…
Read moreOctober 9, 2022
Machine Translation: State-of-the-art
Artificial intelligence is more than ever capable of addressing one of the great challenges of NLP: machine translation. The goal of this technique is to be able to translate fluently and accurately from one spoken, or written…
Read moreOctober 9, 2022
Super-resolution with Deep learning: SRGAN
The Super Resolution GAN (SRGAN) is a deep learning algorithm whose objective is to improve the quality of an image. It belongs to the family of GANs (Generative Adversarial Networks). In this article, we will first discuss the different…
Read moreOctober 9, 2022