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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]
DeepSeek [a] is a chatbot created by the Chinese artificial intelligence company DeepSeek.. On 10 January 2025, DeepSeek released the chatbot, based on the DeepSeek-R1 model, for iOS and Android; by 27 January, DeepSeek-R1 had surpassed ChatGPT as the most-downloaded freeware app on the iOS App Store in the United States, [1] causing Nvidia's share price to drop by 18%.
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.
Apache 2.0 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 ...
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 ...
Code Llama is a fine-tune of LLaMa 2 with code specific datasets. 7B, 13B, and 34B versions were released on August 24, 2023, with the 70B releasing on the January 29, 2024. [29] Starting with the foundation models from LLaMa 2, Meta AI would train an additional 500B tokens of code datasets, before an additional 20B token of long-context data ...
llama.cpp began development in March 2023 by Georgi Gerganov as an implementation of the Llama inference code in pure C/C++ with no dependencies. This improved performance on computers without GPU or other dedicated hardware, which was a goal of the project.