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Artifical intelligence: Introduction

Artifical Intelligence--Introduction

Artificial Intelligence—Definition

Artificial intelligence is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is also the field of study in computer science that develops and studies intelligent machines. "AI" may also refer to the machines themselves. Wikipededia 

Modern AI platforms are composed of multiple groups of algorithms with different goals. At their simplest, these platforms take training data, use machine learning algorithms to "learn" from this data, and then pass on what it has learned to a model which uses this knowledge to generate some output.  

Generative AI is a type of AI system that generates text, images, or other media in response to user prompts. Generative AI refers to deep-learning models that can take raw data and “learn” to generate statistically probable outputs when prompted. At a high level, generative models encode a simplified representation of their training data and draw from it to create a new work that’s similar, but not identical, to the original data. Generative models have been used for years in statistics to analyze numerical data. The rise of deep learning, however, made it possible to extend them to images, speech, and other complex data types.


AI Key Terms

  • Artificial intelligence (AI) is a field of study dedicated to creating computer programs or other machine-driven forms of intelligence. 
  • Deep Neural Networks employ many layers of neural networks to deal with complex subjects. 
  • Generative AI is a type of AI system that generates text, images, or other media in response to user prompts.
  • Large Language Models such as chatGPT apply deep neural networks to text data and generate output from prompts.
  • Machine learning is a sub field of AI focused on the problems of designing recursive algorithms capable of learning.
  • Natural Language Processing refers to a branch of artificial intelligence concerned with giving computers the ability to understand text and spoken word in the same way humans can.
  • Neural Networks are an approach to machine learning using many simple, but densely connected algorithms to solve complex problems.
  • Supervised learning is a machine learning technique where the authors of the model tell the machine learning algorithm how to handle the training data in order to generate the desired output.
  • Training data are the information that is digested by a machine learning algorithm. 
  • Unsupervised learning is a machine learning technique where the machine learning algorithm creates its own labels for variables within the training data.

AI definitions

Generative AI

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