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Bjarne Stroustrup (/ ˈ b j ɑːr n ə ˈ s t r ɒ v s t r ʊ p /; Danish: [ˈbjɑːnə ˈstʁʌwˀstʁɔp]; [3] [4] born 30 December 1950) is a Danish computer scientist, known for the development of the C++ programming language. [5]
llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library.
This is a list of educational software that is computer software whose primary purpose is teaching or self-learning. Educational software by subject
Some organizations have adopted the PADDIE model without the M phase. Pavlis Korres (2010), in her instructional model (ESG Framework), [10] has proposed an expanded version of ADDIE, named ADDIE+M, where Μ=Maintenance of the Learning Community Network after the end of a course. The Maintenance of the Learning Community Network is a modern ...
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text. This page lists notable large language models.
For example, a "Flying Cat" class can inherit from both "Cat" and "Flying Mammal". Some other languages, such as C# or Java , accomplish something similar (although more limited) by allowing inheritance of multiple interfaces while restricting the number of base classes to one (interfaces, unlike classes, provide only declarations of member ...
Wt (pronounced "witty") is an open-source widget-centric web framework for the C++ programming language. It has an API resembling that of Qt framework (although it was developed with Boost, and is incompatible when mixed with Qt), also using a widget-tree and an event-driven signal/slot system.
Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024. [4] Llama models are trained at different parameter sizes, ranging between 1B and 405B. [5]