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Generative AI models are used to power chatbot products such as ChatGPT, programming tools such as GitHub Copilot, [67] text-to-image products such as Midjourney, and text-to-video products such as Runway Gen-2. [68] Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office ...
The following is a list of slang that is used or popularized by Generation Z (Gen Z), generally those born between the late 1990s and early 2010s in the Western world. Generation Z slang differs from slang of prior generations. [1] [2] Ease of communication with the internet facilitated the rapid proliferation of Gen Z slang. [2] [3] [4]
DALL·E, DALL·E 2, and DALL·E 3 are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released. DALL·E 3 was released natively ...
runwayml .com. Runway AI, Inc. (also known as Runway and RunwayML) is an American company headquartered in New York City that specializes in generative artificial intelligence research and technologies. [1] The company is primarily focused on creating products and models for generating videos, images, and various multimedia content.
Stable Diffusion. Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .
For Gen Z workers, 2023 has been the year of rejecting hustle culture. First came "quiet quitting,", and then " loud quitting ," " Bare Minimum Mondays ," and " lazy girl " jobs swiftly followed.
An instance of GPT-2 writing a paragraph based on a prompt from its own Wikipedia article in February 2021. Generative Pre-trained Transformer 2 ("GPT-2") is an unsupervised transformer language model and the successor to OpenAI's original GPT model ("GPT-1"). GPT-2 was announced in February 2019, with only limited demonstrative versions ...
GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]
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