AI Glossary: Key Terms and Concepts Explained
Artificial Intelligence (AI) is a rapidly growing field, and as it continues to evolve, new terminology and concepts are constantly being introduced.
Understanding these terms is essential for anyone interested in AI, whether you're an experienced developer or new to this field.
In this article, we'll explore a glossary of important AI terms and concepts, enabling you to better understand and navigate the world of AI (opens in new browser tab).
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AI - Artificial Intelligence
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AI refers to the development of computer systems that can perform tasks typically requiring human intelligence. These tasks include learning, reasoning, problem-solving, perception, and understanding natural language.
-Wikipedia: AI
-Youtube: AI
AGI - Artificial General Intelligence
- Artificial General Intelligence (AGI) refers to the ability of an artificial intelligence system to perform any intellectual task that a human being can do.
-Wikipedia: AGI
-Youtube: AGI
GAN - Generative Adversarial Network
- A Generative Adversarial Network (GAN) is a type of neural network that consists of two different models: a generator and a discriminator. The generator is responsible for creating new data that is similar to a given training dataset, while the discriminator is responsible for determining whether the generated data is real or fake.
-Wikipedia: GAN
-Youtube: GAN
NLG - Natural Language Generation
- Natural Language Generation (NLG) is a subfield of artificial intelligence that focuses on the creation of natural language text from data or structured information. NLG systems take structured data as input and use algorithms to generate human-like written or spoken language output.
-Wikipedia: NLG
-Youtube: NLG
NLP - Natural Language Processing
- Natural Language Processing (NLP) is a field of computer science and artificial intelligence that deals with enabling machines to understand, interpret, and manipulate human language. NLP aims to bridge the gap between human communication and computer programming.
-Wikipedia: NLP
-Youtube: NLP
LLM - Large Language Model
- Large language models (LLM) are a type of artificial intelligence technology that has been gaining a lot of attention in recent years. These models are designed to be able to process and understand vast amounts of language data, allowing them to generate new language content that is both coherent and contextually appropriate.
-Wikipedia: LLM
-Youtube: LLM
Augment
- Artificial intelligence (AI) has become increasingly popular in recent years, with many industries adopting its use to streamline processes, improve efficiency, and identify new opportunities. One of the latest trends in AI is AI augmentation, which involves using AI to enhance human performance.
-Wikipedia: augment
-Youtube: augment
Generative
- Artificial intelligence (AI) generative models are revolutionizing the way we think about computer-generated content. These models can produce entirely new pieces of work, ranging from text to images and music.
-Wikipedia: generative
-Youtube: generative
Hallucinations
- AI hallucinations refer to the phenomenon where an AI system generates images or sounds that are not actually present in the environment. This can happen when the AI system is trained on a dataset that contains biased or incomplete information. As a result, the AI system may fill in the gaps in the data by creating its own images or sounds, which can lead to hallucinations.
-Wikipedia: hallucination
-Youtube: hallucination
Mind Map
- Artificial Intelligence has revolutionized the way we approach problem-solving and decision-making. One of the most useful tools in this field is the use of AI Mind Maps. These mind maps are a graphical representation of the different concepts and ideas related to a particular topic. They are a great way to analyze and understand complex ideas with ease.
-Wikipedia: Mind Mapping
-Youtube: Mind Mapping
Prediction
- Artificial intelligence has come a long way in the past few years, and one of its most impressive abilities is prediction. AI algorithms are capable of analyzing vast amounts of data and using that analysis to make predictions about the future.
-Wikipedia: prediction
-Youtube: prediction
Singularity
- Artificial Intelligence (AI) Singularity is a hypothetical point in the future where AI surpasses human intelligence and becomes capable of creating more advanced and intelligent machines. It is the point where AI evolves beyond human comprehension and control. The idea of AI Singularity is not new, and it has been a topic of debate in the scientific community for decades now - note that it is similar in definition to AGI.
-Wikipedia: The Singularity
-Youtube: The Singularity
text-to-anything
- Artificial intelligence has revolutionized the way we interact with technology and the world. One of the latest innovations in this field is AI text-to-video, text-to-speech, text-to-art, text-to-image, text-to-anything technology. This technology enables computers to generate videos, speech, art, images, and text-to-anything from text inputs, creating a new level of convenience in specific areas of creation.
-Youtube: text-to-speech (synchronized video)
-Youtube: text-to-art-video (Leonardo Tutorial)
Alan Turing
- Alan Turing is perhaps best known for his work on artificial intelligence and his famous Turing Test. In 1950, he proposed a test to determine a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. The test involves a human evaluator who engages in a natural language conversation with a machine and a human, without knowing which is which. If the evaluator cannot reliably tell which is the machine, then the machine is said to have passed the Turing Test.
-Wikipedia: Alan Turing
-Youtube: Alan Turing Life Story