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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
On Friday, Altman said OpenAI would follow DeepSeek's approach. "Yeah we are gonna show a much more helpful and detailed version of this, soon. Credit to R1 for updating us," he wrote.
A breakthrough from a Chinese company called DeepSeek may be shaking things up again (or there may be more to the story). DeepSeek is a Chinese tech company that created DeepSeek-R1 to compete ...
DeepSeek-R1 surpasses its rivals in several key metrics, while also costing just a fraction of the amount to train and develop. Its capabilities helped propel it to the top of Apple’s App Store ...
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 ...