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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.
FOSDEM —Free and Open-source Software Developers' European Meeting. FOSI —Formatted Output Specification Instance. FOSS —Free and Open-Source Software. FP —Function Programming. FP —Functional Programming. FPGA —Field Programmable Gate Array. FPS —Floating Point Systems. FPU —Floating-Point Unit. FRU —Field-Replaceable Unit.
This is a list of free and open-source software packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
CAPTCHA. This CAPTCHA ( reCAPTCHA v1) of "smwm" obscures its message from computer interpretation by twisting the letters and adding a slight background color gradient. A CAPTCHA ( / ˈkæp.tʃə / KAP-chə) is a type of challenge–response test used in computing to determine whether the user is human in order to deter bot attacks and spam.
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 ...
Open the downloaded file and double click to install. Click Continue to go through the install steps. Click Install. Enter your email and password on the activation screen. Click Activate. Once the software is installed, click Close.
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] 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.
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