AI Library Workshop: Technology

• AGI Artificial General Intelligence (AGI) has not yet been realized and would be when an AI system can learn, understand, and solve any problem that a human can. Think Sci Fi movies with robots and more.
• Algorithm Algorithms are the “brains” of an AI system or the rules for what actions the AI system takes.
• Artificial Intelligence (AI) AI is a branch of computer science and a general term with many applications. AI systems use hardware, algorithms, and data to create “intelligence” to do things like make decisions, discover patterns, and perform some sort of action. AI systems can be built in different ways, two of the primary ways are: (1) through the use of rules provided by a human (rule-based systems); or (2) with machine learning algorithms. Many newer AI systems use machine learning.
• Chat GPT ChatGPT is a Large Language Model (LLM) chatbot, created by OpenAI, which responds to prompts with natural language. It is trained on massive data sets, and generates textual responses that mimic human conversation. GPT = Generative, Pre-trained Transformer.
• Generative AI (Gen AI) A system built with a neural network transformer type of AI model that works well in natural language processing tasks. The model: (1) can generate responses to questions (Generative); (2) was trained in advance on a large amount of the written material available on the web (Pre-trained); (3) and can process sentences differently than other types of models (Transformer).
• Machine Learning Machine Learning ML is a subset of AI where an algorithm will identify rules and patterns in the data without a human specifying those rules and patterns. These algorithms build a model for decision making as they go through data.
• Neural Networks Neural networks or artificial neural networks (ANN) advanced basic machine learning.They were inspired by the interconnections of neurons and synapses in a human brain. They are what make Deep Learning and thus Chatbots possible.
• LLM LLMs or Large language Models form the foundation for generative AI (GenAI) systems. They take certain types of data (text, images, sound, video) and then return a result to the user based on the user's prompt and the size and sophistication of the LLM itself. At a very basic level, LLMs detect statistical relationships, and answer questions or write text based on the likelihood of a word occurring to predict the next word to be generated. LLMs are pre-trained with deep learning techniques on massive data sets of text documents. Sometimes, companies include data sets of text without the creator’s consent.