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“DeepSeek R1 is AI’s Sputnik moment,” the prominent venture capitalist said in a post on X. DeepSeek was founded in 2023 by Liang Wenfeng, an alumnus of Zhejiang University, and incubated by ...
DeepSeek, an AI lab from China, is the latest challenger to the likes of ChatGPT. Its R1 model appears to match rival offerings from OpenAI, Meta, and Google at a fraction of the cost.
DeepSeek R1 20 Nov 2024 DeepSeek-R1-Lite-Preview Only accessed through API and a chat interface. 20 Jan 2025 DeepSeek-R1 DeepSeek-R1-Zero Initialized from DeepSeek-V3-Base and sharing the V3 architecture. Distilled models Initialized from other models, such as Llama, Qwen, etc. Distilled from data synthesized by R1 and R1-Zero. [42]
Outperforms GPT-3.5 and Llama 2 70B on many benchmarks. [82] Mixture of experts model, with 12.9 billion parameters activated per token. [83] Mixtral 8x22B April 2024: Mistral AI: 141 Unknown Unknown: Apache 2.0 [84] DeepSeek-LLM: November 29, 2023: DeepSeek 67 2T tokens [85]: table 2 12,000: DeepSeek License
DeepSeek's claim that its R1 artificial intelligence (AI) model was made at a fraction of the cost of its rivals has raised questions about the future about of the whole industry, and caused some ...
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]
In January 2025, DeepSeek released DeepSeek R1, a 671-billion-parameter open-weight model that performs comparably to OpenAI o1 but at a much lower cost. [19] Since 2023, many LLMs have been trained to be multimodal, having the ability to also process or generate other types of data, such as images or audio. These LLMs are also called large ...
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. [4] Command-line tools are included with the library, [5] alongside a server with a simple web interface. [6] [7]
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