Computer Vision

Artificial Intelligence is the field of computer science dedicated to the creation of systems and programs capable of performing tasks that traditionally require human intelligence, such as adaptive learning, logical reasoning, complex problem-solving, and data-driven decision-making.

Prompt engineering is the process of designing, refining, and optimizing textual input instructions for large-scale language models in order to obtain the most accurate, useful, and creative responses possible for a particular business scenario.

A prompt is a written instruction, question, or set of data that is entered into a generative artificial intelligence model to tell it what task to perform or what kind of response to generate, acting as a direct communication bridge between the user and the machine.

A hallucination is a phenomenon in which an artificial intelligence language model generates information that appears grammatically correct and persuasive but is factually incorrect, incoherent, or completely fabricated due to limitations in its data or training processes.

An artificial neural network is a computational model inspired by the functioning of neurons in the human brain, consisting of interconnected nodes organized in layers that process input information, assign mathematical weights to variables, and generate accurate predictions or classifications.

A Large Language Model is an artificial intelligence system trained on massive sets of textual data that uses advanced deep learning architectures to process, predict, and generate text with a high degree of conceptual coherence and contextual adaptability.

Deep learning is a branch of machine learning that uses artificial neural networks with multiple layers of processing to analyze and extract complex features from unstructured data, such as images, speech, and text, by mimicking the basic functioning of the human brain.

Natural Language Processing is a branch of artificial intelligence dedicated to researching and developing methods that enable computers to understand, interpret, and generate human language in a fluid and coherent manner, facilitating tools such as machine translation, sentiment analysis, and voice assistants.