Zero-Shot Learning (ZSL) is a machine learning technique that enables models to recognize and classify objects, concepts, or tasks without having seen any labeled examples of those categories during training. Instead of relying on direct examples, zero-shot models leverage semantic...

YOLO is a real-time object detection algorithm that simultaneously identifies and localizes objects within an image. Instead of performing multiple steps, YOLO uses a single convolutional neural network pass, making it remarkably fast. Although it may sacrifice a bit of...

VLM (Vision-Language Model) refers to a class of AI systems that can process and understand both visual and textual information. These models learn to align images with corresponding text, enabling tasks such as image captioning, visual question answering, and multimodal...

A Vector Database is a specialized type of database that stores and searches high-dimensional vector embeddings. These embeddings represent data—such as text, images, or audio—in numeric form to capture semantic meaning. As a result, vector databases support tasks like semantic...

Unsupervised Learning is a type of machine learning where models learn patterns from data without labeled outcomes. Unlike supervised learning, it doesn’t rely on input-output pairs. Instead, the algorithm explores the data to find hidden structures, groupings, or relationships. This...

Trustworthy AI refers to artificial intelligence systems that are ethical, transparent, and reliable. These systems align with human values and meet societal expectations. As a result, they ensure safety, fairness, and accountability throughout their lifecycle. Trustworthy AI supports responsible adoption...

Tree of Thoughts is a reasoning framework designed for large language models (LLMs) that guides them to explore multiple reasoning paths before settling on a final answer. Rather than following a single, linear chain of thought, the model branches out...