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chatgpt .com. 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 ...
Generative Pre-trained Transformer 3.5 (GPT-3.5) is a sub class of GPT-3 Models created by OpenAI in 2022. On March 15, 2022, OpenAI made available new versions of GPT-3 and Codex in its API with edit and insert capabilities under the names "text-davinci-002" and "code-davinci-002". [ 28 ]
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 Microsoft Copilot. [ 2]
On March 30, 2023, Auto-GPT was released by Toran Bruce Richards, the founder and lead developer at video game company Significant Gravitas Ltd.[3]Auto-GPT is an open-source autonomous AI agent based on OpenAI's API for GPT-4,[4]the large language model released on March 14, 2023. Auto-GPT is among the first examples of an application using GPT ...
OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist; [240] after being accepted, an additional fee of US$0.03 per 1000 tokens in the initial text provided to the model ("prompt"), and US$0.06 per 1000 tokens that the model generates ("completion"), is charged for access to the version of the model ...
List of chatbots. A chatbot is a software application or web interface that is designed to mimic human conversation through text or voice interactions. [ 1][ 2][ 3] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating ...
DALL·E's model is a multimodal implementation of GPT-3 [22] with 12 billion parameters [5] which "swaps text for pixels," trained on text–image pairs from the Internet. [23] In detail, the input to the Transformer model is a sequence of tokenized image caption followed by tokenized image patches.
Other models with large context windows includes Anthropic's Claude 2.1, with a context window of up to 200k tokens. [43] Note that this maximum refers to the number of input tokens and that the maximum number of output tokens differs from the input and is often smaller. For example, the GPT-4 Turbo model has a maximum output of 4096 tokens. [44]
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