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With Llama, Meta and Zuckerberg have the chance to set a new industry standard. “I think we’re going to look back at Llama 3.1 as an inflection point in the industry, where open-source AI ...
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]
Llama 3.1 July 2024: Meta AI 405 15.6T tokens 440,000: Llama 3 license 405B version took 31 million hours on H100-80GB, at 3.8E25 FLOPs. [97] [98] DeepSeek V3 December 2024: DeepSeek: 671 14.8T tokens 56,000: DeepSeek License 2.788M hours on H800 GPUs. [99] Amazon Nova December 2024: Amazon: Unknown Unknown Unknown Proprietary
"As Yann LeCun (Meta's chief AI scientist) has noted, this is a victory for the open source model of driving community innovation with DeepSeek leveraging Meta’s Llama and Alibaba’s Qwen open ...
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 ...
The model was based on the LLM Llama developed by Meta AI, with various modifications. [3] It was publicly released in September 2023 after receiving approval from the Chinese government. [4] In December 2023 it released its 72B and 1.8B models as open source, while Qwen 7B was open sourced in August. [5] [6]
Meta AI (formerly Facebook) also has a generative transformer-based foundational large language model, known as LLaMA. [48] Foundational GPTs can also employ modalities other than text, for input and/or output. GPT-4 is a multi-modal LLM that is capable of processing text and image input (though its output is limited to text). [49]
This paper's goal was to improve upon 2014 seq2seq technology, [10] and was based mainly on the attention mechanism developed by Bahdanau et al. in 2014. [11] The following year in 2018, BERT was introduced and quickly became "ubiquitous". [12] Though the original transformer has both encoder and decoder blocks, BERT is an encoder-only model.