AI technology Flashcards
What is AI technology in simple words?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
How does ChatGPT work?
ChatGPT is an app built by OpenAI. Using the GPT language models, it can answer your questions, write copy, draft emails, hold a conversation, explain code in different programming languages, translate natural language to code, and more—or at least try to—all based on the natural language prompts you feed it.
Where does ChatGPT get its data?
ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.
What is PaLM API?
Now, the tech giant has launched an API for PaLM to take on the recently announced GPT 4 from OpenAI and new AI tools for enterprise users. Google says PaLM will help businesses generate text, photos, code, videos, audio and more using natural language prompts.
Is GPT-4 available?
Today, we are excited to announce that GPT-4 is available in preview in Azure OpenAI Service. Customers and partners already using Azure OpenAI Service can apply for access to GPT-4 and start building with OpenAI’s most advanced model yet.
What is Midjourney 5?
The newest version of the artificial intelligence (AI) image generator Midjourney can finally depict human-like hands with a full set of five fingers. Midjourney’s Version 5 was released yesterday, March 16, and while the update is not consistently perfect, it marks a stark improvement for the emerging technology.
Is Microsoft 365 copilot available?
On March 16, 2023, Microsoft announced that they’re developing their very own answer to high-functioning chatbots like OpenAI’s ChatGPT – Microsoft 365 Copilot. Copilot is currently in development with a very small group of test users and will start rolling out to everyone else soon.
What does NVIDIA AI do?
NVIDIA DRIVE™ PX2 is the open AI car computing platform enabling automakers and their tier 1 suppliers to accelerate production of autonomous vehicles. It scales from a palm-sized, energy efficient module for AutoCruise capabilities to a powerful AI supercomputer capable of autonomous driving.
What is deep learning AI?
Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. Deep learning is an important element of data science, which includes statistics and predictive modeling.
What is language model in AI?
Language models analyze bodies of text data to provide a basis for their word predictions. They are used in natural language processing (NLP) applications, particularly ones that generate text as an output. Some of these applications include , machine translation and question answering.
What is a transformer AI?
A transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input data. It is used primarily in the fields of natural language processing (NLP) and computer vision (CV).
What is the Turing test?
The Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine’s ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.
Difference between machine learning vs deep learning?
Machine Learning means computers learning from data using algorithms to perform a task without being explicitly programmed. Deep Learning uses a complex structure of algorithms modeled on the human brain. This enables the processing of unstructured data such as documents, images, and text.
What is misaligned AI?
An aligned AI system advances the intended objective; a misaligned AI system is competent at advancing some objective, but not the intended one. AI systems can be challenging to align and misaligned systems can malfunction or cause harm.
Currently, AI answers are about what is plausible in one context. “People said these words, what other words can I say here?’ Truth and logical consistency is about knowing facts and being able to reason over those facts. We need to bridge these approaches with neuro-symbolic AI.