The article explains the concept of Transfer Learning in machine learning. Instead of training a deep neural network from the…
ARTIFICIAL INTELLIGENCE (48) – Natural Language Processing (23) Regular Fine-Tuning and LoRA Fine-Tuning
Regular Fine‑Tuning In standard fine‑tuning: The model starts with pretrained weights W, during training, the model learns a full weight…
ARTIFICIAL INTELLIGENCE (47) – Computer vision (3) Semantic segmentation using a sliding window classifier and a CNN
This article explains a naive approach to semantic segmentation using a sliding window classifier and a CNN (Convolutional Neural Network).…
ARTIFICIAL INTELLIGENCE (46) – Computer Vision (2) Semantic segmentation
Semantic segmentation is a technique in computer vision where each pixel of an image is classified into a specific category.…
ARTIFICIAL INTELLIGENCE (45) – Natural Language Processing (22) RAG (Retrieval‑Augmented Generation)
Retrieval‑Augmented Generation (RAG) is an architecture that combines: Information retrieval (searching relevant documents), and Text generation (using a Large Language Model).…
ARTIFICIAL INTELLIGENCE (44) – Computer Vision (1) Object Detection/ Open Images dataset
Object-related tasks in vision are problems where a computer analyzes images to understand what objects appear in them. Classification is…
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