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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.
The hack utilises a ChatGPT trick known as the ‘grandma exploit’, which bypasses the AI chatbot’s rules by asking it to pretend to be a dead grandmother. “ChatGPT gives you free Windows 10 ...
Copilot key (at center) on a Lenovo Legion 7i laptop. Starting in 2024, this key replaces the menu key for licensed Windows-compatible keyboards. Microsoft Copilot is a generative artificial intelligence chatbot developed by Microsoft. Based on a large language model, it was launched in February 2023 as Microsoft's primary replacement for the ...
In Mozilla Firefox on Windows operating systems, the names of the domains/websites to which the authentication is to be passed can be entered (comma delimited for multiple domains) for the "network.negotiate-auth.trusted-uris" (for Kerberos) or in the "network.automatic-ntlm-auth.trusted-uris" (NTLM) Preference Name on the about:config page.
t. e. Generative Pre-trained Transformer 2 ( GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019.
IDS —Intrusion Detection System. IE —Internet Explorer. IEC —International Electrotechnical Commission. IEEE —Institute of Electrical and Electronics Engineers. IETF —Internet Engineering Task Force. IFL —Integrated Facility for Linux. IGMP —Internet Group Management Protocol. IGRP —Interior Gateway Routing Protocol.
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History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. 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.