enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. 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]

3. Generative artificial intelligence - Wikipedia

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

   Generative AI models are used to power chatbot products such as ChatGPT, programming tools such as GitHub Copilot, [71] text-to-image products such as Midjourney, and text-to-video products such as Runway Gen-2. [72] Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office ...

4. OpenAI - Wikipedia

   en.wikipedia.org/wiki/OpenAI

   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 ...

5. ChatGPT isn't the only cool AI tool made by OpenAI — check ...

   www.aol.com/news/chatgpt-isnt-only-cool-ai...

   DALL-E . Just months before ChatGPT launched, OpenAI removed the waitlist for its generative AI art generator, DALL-E.It quickly grew to over 1.5 million daily users by September 2022, the company ...

6. 13 Ways To Use AI To Become a Better Writer - AOL

   www.aol.com/13-ways-ai-become-better-144100048.html

   The AI tool can then use these data points to improve its predictions and come up with ideas you can use as a jumping-off point during the text generation process. DepositPhotos.com 2.

7. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   GPT-4 is a multi-modal LLM that is capable of processing text and image input (though its output is limited to text). [49] Regarding multimodal output , some generative transformer-based models are used for text-to-image technologies such as diffusion [ 50 ] and parallel decoding. [ 51 ]