Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by performing actions in an environment to maximize some notion of cumulative reward. Unlike supervised learning, where the model learns from labeled data, RL…
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is a method in natural language processing that enhances the generation of text by dynamically retrieving and incorporating relevant information from a large database or document collection during the generation process. This approach combines the capabilities of…
Tensors
Tensors are mathematical objects that play a central role in artificial intelligence (AI), particularly in machine learning and neural networks. They are used to represent and process complex data structures. Definition and Properties: Dimensions: Tensors can be seen as a…
Text-to-Speech
“Text-to-speech (TTS) is a technology that converts written text into spoken language. TTS systems enable computers to read text aloud, making them useful in many applications, including voice assistants, e-book readers and navigation systems. Modern TTS systems often use neural…
Transformer
Transformer In the context of artificial intelligence (AI), a Transformer is a type of model architecture used in the field of deep learning, specifically in natural language processing (NLP). The Transformer model was introduced in a paper titled “Attention is…
Turing Test
A test to assess a machine’s ability to imitate human-like behavior, proposed by British mathematician and computer pioneer Alan Turing. In this test, a human test subject communicates with a machine and another human via text messages. If the test…
Vector databases
Vector databases are specialized storage systems designed to efficiently store, index, and retrieve high-dimensional vector data. They are commonly used in machine learning and AI applications, such as image and voice recognition, to facilitate fast and accurate similarity searches among…
Vibe Coding
Vibe Coding is an AI-driven programming technique where a user provides a brief natural language description of a problem to a large language model (LLM) specialized in coding. The LLM then generates the corresponding software code, shifting the programmer’s role…