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2. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [167] If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [168]

3. Claude (language model) - Wikipedia

   en.wikipedia.org/wiki/Claude_(language_model)

   Claude is a family of large language models developed by Anthropic. [1] [2] The first model was released in March 2023.The Claude 3 family, released in March 2024, consists of three models: Haiku optimized for speed, Sonnet balancing capabilities and performance, and Opus designed for complex reasoning tasks.

4. Text-to-image model - Wikipedia

   en.wikipedia.org/wiki/Text-to-image_model

   An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige", generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

5. Do AI-generated images reinforce gender and racial ... - AOL

   www.aol.com/ai-generated-images-reinforce-gender...

   AI image generators have the ability to generate visual content from text descriptions. Anyone can enter a prompt—from detailed descriptions to simple keywords—and the AI generator brings ...

6. GPT-2 - Wikipedia

   en.wikipedia.org/wiki/GPT-2

   In 2019, AI Dungeon was launched, which used GPT-2 to generate dynamic text adventures based on user input. [30] AI Dungeon now offers access to the largest release of GPT-3 API as an optional paid upgrade, the free version of the site uses the 2nd largest release of GPT-3. [ 31 ]

7. Ideogram (text-to-image model) - Wikipedia

   en.wikipedia.org/wiki/Ideogram_(text-to-image_model)

   Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The model is capable of generating legible text in the images compared to other text-to-image models. [1] [2]