LLM (Large Language Model)

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.

A chatbot is a computer program designed to simulate a structured or free-form conversation with human users through text or voice messaging channels, using everything from predefined rules to advanced natural language processing systems to provide immediate support.

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 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.

Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world by processing digital images and video sequences, enabling object identification, facial recognition, and autonomous navigation.

Generative AI is a branch of artificial intelligence focused on models capable of creating original and realistic content—such as images, literary texts, musical compositions, or programming code—based on patterns and structures previously learned from training data.

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.