In the context of AI, machine learning, and data systems, indexing refers to the process of organizing data—often unstructured or high-dimensional—in a way that makes it fast and efficient to retrieve relevant information. It is particularly critical in retrieval-augmented generation...

A Generative Adversarial Network (GAN) is a class of machine learning models designed for generative tasks, where the goal is to create new data that mimics the characteristics of a given dataset. A GAN consists of two neural networks—a generator...

DeepSeek is an open-source large language model (LLM) developed by a Chinese AI research team. Designed to compete with models like GPT-3.5, DeepSeek is trained on a massive corpus of Chinese and English data. Its performance spans a range of...

Claude is a family of large language models (LLMs) developed by Anthropic. These models are designed to be helpful, honest, and harmless. Named after Claude Shannon, they focus on aligning AI behavior with human values. Claude models use reinforcement learning...

In Natural Language Processing (NLP), chunking refers to the process of segmenting a sentence into syntactically correlated parts, or “chunks,” such as noun phrases (NPs), verb phrases (VPs), and prepositional phrases (PPs). It sits between part-of-speech (POS) tagging and full...