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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-3 - Wikipedia

   en.wikipedia.org/wiki/GPT-3

   These models were described as more capable than previous versions and were trained on data up to June 2021. [29] On November 28, 2022, OpenAI introduced text-davinci-003. [ 30 ] On November 30, 2022, OpenAI began referring to these models as belonging to the "GPT-3.5" series, [ 29 ] and released ChatGPT , which was fine-tuned from a model in ...

4. ChatGPT-4 vs. 3.5: Which Version Offers More Money ... - AOL

   www.aol.com/chatgpt-4-vs-3-5-170413903.html

   For starters, ChatGPT-4 is multimodal (working with both imagers and text) and more “steerable” than ChatGPT-3.5 in that it can take multiple prompts in greater numbers, which allows it to ...

5. DALL-E - Wikipedia

   en.wikipedia.org/wiki/DALL-E

   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 into ChatGPT for ChatGPT Plus and ChatGPT Enterprise customers in October 2023, [1] with availability via OpenAI's API [2] and "Labs" platform provided in early November. [3]

6. GPT-4 - Wikipedia

   en.wikipedia.org/wiki/GPT-4

   Website. openai .com /gpt-4. Generative Pre-trained Transformer 4 ( GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. [ 1] It was launched on March 14, 2023, [ 1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot ...

7. Large language model - Wikipedia

   en.wikipedia.org/wiki/Large_language_model

   LLMs are artificial neural networks that use the transformer architecture, invented in 2017. The largest and most capable LLMs, as of June 2024, are built with a decoder-only transformer-based architecture, which enables efficient processing and generation of large-scale text data. Historically, up to 2020, fine-tuning was the primary method ...