Chowist Web Search

Search results

1. Results From The WOW.Com Content Network

2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

3. GPT-4o - Wikipedia

   en.wikipedia.org/wiki/GPT-4o

   GPT-4o (GPT-4 Omni) is a multilingual, multimodal generative pre-trained transformer designed by OpenAI. It was announced by OpenAI's CTO Mira Murati during a live-streamed demo on 13 May 2024 and released the same day. GPT-4o is free, but with a usage limit that is 5 times higher for ChatGPT Plus subscribers.

4. You can now use ChatGPT for free without a login - AOL

   www.aol.com/lifestyle/now-chatgpt-free-without...

   There’s no need to register for a login and password, and it’s totally free of charge. They made the announcement on X: We’re rolling out the ability to start using ChatGPT instantly ...

5. GPT4-Chan - Wikipedia

   en.wikipedia.org/wiki/GPT4-Chan

   GPT4-Chan. Generative Pre-trained Transformer 4Chan (GPT-4chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. The model is a large language model, which means it can generate text based on some input, by fine-tuning GPT-J with a dataset of millions of posts from the /pol ...

6. ChatGPT vs. Copilot: Which Should You Use? - AOL

   www.aol.com/chatgpt-vs-copilot-125700781.html

   Copilot offers a completely free way to access GPT-4 but with limitations on responses and prompts. It shines in visual features and information retrieval from the web.

7. Generative pre-trained transformer - Wikipedia

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

   Generative pretraining (GP) was a long-established concept in machine learning applications. It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.