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DeepSeek-V2 was released in May 2024. In June 2024, the DeepSeek-Coder V2 series was released. [32] The DeepSeek login page shortly after a cyberattack that occurred following its January 20 launch. DeepSeek V2.5 was released in September and updated in December 2024. [33] On 20 November 2024, DeepSeek-R1-Lite-Preview became accessible via API ...
BEIJING (Reuters) - Chinese startup DeepSeek will make its models' code publicly available, it said on Friday, doubling down on its commitment to open-source artificial intelligence.
South Korea's data protection authority on Monday said new downloads of the Chinese AI app DeepSeek had been suspended in the country after DeepSeek acknowledged failing to take into account some ...
huggingface.co Hugging Face, Inc. is an American company incorporated under the Delaware General Corporation Law [ 1 ] and based in New York City that develops computation tools for building applications using machine learning .
Mistral AI was established in April 2023 by three French AI researchers, Arthur Mensch, Guillaume Lample and Timothée Lacroix. [5]Mensch, an expert in advanced AI systems, is a former employee of Google DeepMind; Lample and Lacroix, meanwhile, are large-scale AI models specialists who had worked for Meta Platforms.
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 ...
GPT-2 deployment is resource-intensive; the full version of the model is larger than five gigabytes, making it difficult to embed locally into applications, and consumes large amounts of RAM. In addition, performing a single prediction "can occupy a CPU at 100% utilization for several minutes", and even with GPU processing, "a single prediction ...