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AutoGPT can be used to develop software applications from scratch. [5] AutoGPT can also debug code and generate test cases. [ 9 ] Observers suggest that AutoGPT's ability to write, debug, test, and edit code may extend to AutoGPT's own source code, enabling self-improvement.
Ophcrack is a free open-source (GPL licensed) program that cracks Windows log-in passwords by using LM hashes through rainbow tables.The program includes the ability to import the hashes from a variety of formats, including dumping directly from the SAM files of Windows, and can be run via the command line or using the program’s GUI (Graphical user interface).
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] 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.
Free software Yes Linux 2023-04-11 GParted (GUI for GNU Parted) The GParted Project Free software Yes Linux (Live CD is independent) 2025-01-30 gdisk (GPT fdisk) Roderick W. Smith Free software Yes Linux, macOS, Windows 2018-07-05 KDE Partition Manager: Volker Lanz Free software Yes Linux 2025-02-06 Logical Disk Manager: Microsoft Proprietary ...
Like MBR, GPT uses logical block addressing (LBA) in place of the historical cylinder-head-sector (CHS) addressing. The protective MBR is stored at LBA 0, and the GPT header is in LBA 1, with a backup GPT header stored at the final LBA. The GPT header has a pointer to the partition table (Partition Entry Array), which is typically at LBA 2 ...
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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. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]