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The first GPT model was known as "GPT-1," and it was followed by "GPT-2" in February 2019. Created as a direct scale-up of its predecessor, GPT-2 had both its parameter count and dataset size increased by a factor of 10. It had 1.5 billion parameters, and was trained on a dataset of 8 million web pages. [9]
The most recent of these, GPT-4o, was released in May 2024. [11] Such models have been the basis for their more task-specific GPT systems, including models fine-tuned for instruction following—which in turn power the ChatGPT chatbot service. [1] The term "GPT" is also used in the names and descriptions of such models developed by others.
Following on the popularity of PlayerUnknown's Battlegrounds, a battle royale game released earlier in 2017, Epic developed a variant of Fortnite called Fortnite Battle Royale, which was released in September 2017 [62] as a free-to-play title across computer, console, and mobile platforms.
GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [ 2 ]
GPT-4 can use both text and image as inputs [88] (although the vision component was not released to the public until GPT-4V [89]); Google DeepMind's Gemini is also multimodal. [90] Mistral introduced its own multimodel Pixtral 12B model in September 2024.
On July 18, 2024, OpenAI released GPT-4o mini, a smaller version of GPT-4o replacing GPT-3.5 Turbo on the ChatGPT interface. Its API costs $0.15 per million input tokens and $0.60 per million output tokens, compared to $5 and $15 respectively for GPT-4o.
The Fortnite World Cup uses two of the game modes available to the video game, Fortnite. The main World Cup event as well as the Pro-Am use Fortnite Battle Royale, a battle royale game where up to 100 players airdrop onto an island without any weapons or armor, save for a pickaxe. Once on the ground, players must scavenge for weapons, armor ...
The next year, they introduced GPT-2, a larger model that could generate coherent text. [10] In 2020, they introduced GPT-3, a model with over 100 times as many parameters as GPT-2, that could perform various tasks with few examples. [11] GPT-3 was further improved into GPT-3.5, which was used to create the chatbot product ChatGPT.