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ChatGPT’s default responses can sound robotic, like they’re written by a machine – which, well, they are. However, with the right cues you can condition ChatGPT to provide answers that are ...
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.
ChatGPT is a virtual assistant developed by OpenAI and launched in November 2022. It uses advanced artificial intelligence (AI) models called generative pre-trained transformers (GPT), such as GPT-4o, to generate text. GPT models are large language models that are pre-trained to predict the next token in large amounts of text (a token usually ...
But the means of achieving that goal is an attractive end in itself, as team member Christian Szegedy (an ex-Googler) explained at the event: “Mathematics is basically the language of pure logic ...
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 ...
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [ 1] and there are concerns about the potential misapplication of AI detection software by educators.
GPT-3.5, boosted by processes that again required additional training and further computing resources, was convincing enough to provide the foundation for ChatGPT’s first release.
Stochastic parrot. In machine learning, the term stochastic parrot is a metaphor to describe the theory that large language models, though able to generate plausible language, do not understand the meaning of the language they process. [ 1][ 2] The term was coined by Emily M. Bender [ 2][ 3] in the 2021 artificial intelligence research paper ...