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…
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