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…
ARTIFICIAL INTELLIGENCE (43) – Natural Language Processing (21) PPO Proximal Policy Optimization
Instead of directly asking humans for preferences, model their preferences as a separate (NLP) problem. This means: Humans label or…
ARTIFICIAL INTELLIGENCE (42) – Natural Language Processing (20) Fine-tuning and Instruction Fine-tuning
Fine-tuning is the process of continuing to train a pre-trained language model on a single, specific task so that it…
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