The links above lead to pages with information specific to either AI or the Information Highway.
Below, is information that could be useful to both topics (such as databases), as well as generalized info such as history and glossary terms.
Databases are collections of published articles, scholarly papers, research, etc., that are made available online. The information in them has been edited and fact-checked. Databases contain accurate, reliable and timely information - perfect for your research assignments.
The databases below are the most useful for this specific project. For our other databases, visit the library online databases. Remember - You'll need to login first to get to the articles. Need passwords? Email the Acalanes library.
These definitions were generated using the Llama 2 large language model and reviewed for accuracy by a University of Texas librarian. Generating content like this can be done efficiently using a large language model, but it is important to remember to review the output carefully and acknowledge the source.
Artificial Intelligence (AI)
Artificial intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and natural language understanding.
Types of Artificial Intelligence
A chatbot is a software application that uses natural language processing (NLP) and machine learning to simulate conversation with humans, either via text or voice interfaces.
Generative artificial intelligence refers to algorithms and models that can generate new content or data, such as images, videos, music, or text, based on patterns learned from existing information.
Machine learning is a subset of artificial intelligence that involves training computer systems to learn from data and improve their performance over time through experience.
NLP is a subfield of artificial intelligence that deals with the interaction between computers and human language, including text and speech processing, sentiment analysis, machine translation, and dialogue systems.
A large language model is a type of machine learning model that is trained on vast amounts of text data to generate language outputs that are coherent and contextually appropriate.
Using Large Language Models (LLMs)
In the context of AI, hallucination refers to the phenomenon where a model generates inaccurate or imaginary output that cannot be explained by its training data, often due to overfitting or underfitting.
A prompt is a specific task or question that is given to an AI system to elicit a response or output.
Prompt engineering is the process of designing and refining prompts to elicit desired responses or behaviors from AI systems, in order to improve their performance and versatility.
Understanding Large Language Models (LLMs)
Parameters are settings or values that are adjusted during the training process to optimize the performance of an AI model, such as the learning rate, regularization strength, or number of hidden layers.
In the context of generative AI, temperature refers to a parameter that controls the "randomness" or "diversity" of generated samples, with higher temperatures resulting in more diverse and less predictable outputs.
In Natural Language Processing and machine learning, tokens refer to individual words or phrases in a text dataset, which are used as input features for models to analyze and understand the meaning of the text.
Training data is the set of examples or inputs used to train an AI system, which helps the model learn patterns and relationships in the data and make predictions or decisions.
Information Superhighway Definition
Definitions of information superhighway
noun
an extensive electronic network (such as the internet) used for the rapid transfer of sound and video and graphics in digital form(electronics) a system of interconnected electronic components or circuits
October 29, 1969: ARPANET (later renamed internet) created a successful connection between University of California Los Angeles and the Stanford Research Institute.
Late 1960s: Libraries automate and network catalogs independent of ARPANET.
1970s: Transport Control Protocol and Internet Protocol (TCP/IP) is established, allowing for internet technology to mature. The invention of these protocols helped to standardize how information was sent and received over the web.
1986: National Science Foundation funded NSFNET, which is the 56 Kbps backbone of the internet. There were commercial restrictions in place at this time because federal funds were being used to run and maintain it.
1991: User-friendly internet interface was created.
July 1992: Delphi became the first national commercial online service to offer internet access.
May 1995: All commercial use limitations on the internet disappear. This allowed the internet to diversify and grow rapidly.
1997: WiFi was invented.
1998: Windows 98 hit the market.
2007: Widespread smartphone adoption.
2009: 4G network is introduced.
Today: 3 billion people use the internet.
2030: 7.5 billion projected internet users and 500 billion devices connected to the internet.