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The GGUF (GGML Universal File) [30] file format is a binary format that stores both tensors and metadata in a single file, and is designed for fast saving, and loading of model data. [31] It was introduced in August 2023 by the llama.cpp project to better maintain backwards compatibility as support was added for other model architectures.
Compared to previous models, Zuckerberg stated the team was surprised that the 70B model was still learning even at the end of the 15T tokens training. The decision was made to end training to focus GPU power elsewhere. [33] Llama-3.1 was released on July 23, 2024, with three sizes: 8B, 70B, and 405B parameters. [5] [34]
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.
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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 ...
The learning pyramid (also known as “the cone of learning”, “the learning cone”, “the cone of retention”, “the pyramid of learning”, or “the pyramid of retention”) [1] is a group of ineffective [2] learning models and representations relating different degrees of retention induced from various types of learning.
This approach involves learning subjects such as history, geography, managerial skills/concepts or others, through an additional language. It can be very successful in enhancing the learning of languages and other subjects, and helping children develop a positive attitude towards themselves as language learners.