Passer au contenu principal

Articles de blog de Samual Handfield

GitHub - Deepseek-ai/DeepSeek-V3

DeepSeek was based in December 2023 by Liang Wenfeng, and launched its first AI massive language model the following year. In December 2024, they launched a base mannequin DeepSeek-V3-Base and a chat model DeepSeek-V3. The DeepSeek Chat V3 model has a prime score on aider’s code enhancing benchmark. Beijing, however, has doubled down, with President Xi Jinping declaring AI a top priority. This resulted in DeepSeek-V2-Chat (SFT) which was not launched. This resulted within the RL model. For extra details concerning the model architecture, please discuss with DeepSeek-V3 repository. This code repository and the mannequin weights are licensed underneath the MIT License. DeepSeek-R1-Distill-Llama-70B is derived from Llama3.3-70B-Instruct and is originally licensed under llama3.3 license. Using DeepSeek-V3 Base/Chat fashions is subject to the Model License. Watch out with DeepSeek, Australia says - so is it safe to use? South Korea's Personal Information Protection Commission opened an inquiry into DeepSeek's use of private info. The identical day DeepSeek's AI assistant grew to become the most-downloaded free app on Apple's App Store within the US, it was hit with "large-scale malicious attacks", the corporate said, causing the company to momentary limit registrations. In response, the Italian data safety authority is searching for extra data on DeepSeek's collection and use of personal data, and the United States National Security Council introduced that it had began a nationwide security overview.

Open supply and free for analysis and business use. If you require BF16 weights for experimentation, you need to use the offered conversion script to perform the transformation. It may also be used for speculative decoding for inference acceleration. We instantly apply reinforcement learning (RL) to the base mannequin without relying on supervised effective-tuning (SFT) as a preliminary step. DeepSeek-R1-Zero was educated exclusively using GRPO RL with out SFT. 2. Extend context length from 4K to 128K utilizing YaRN. This extends the context size from 4K to 16K. This produced the bottom fashions. 1. The base fashions were initialized from corresponding intermediate checkpoints after pretraining on 4.2T tokens (not the model at the top of pretraining), then pretrained further for 6T tokens, then context-prolonged to 128K context length. Strong effort in constructing pretraining data from Github from scratch, with repository-level samples. According to a overview by Wired, DeepSeek also sends information to Baidu's internet analytics service and collects knowledge from ByteDance. Each skilled model was educated to generate simply synthetic reasoning data in one particular domain (math, programming, logic).

deepseek-ai-deepseek-coder-33b-instruct.png Expert models have been used, as an alternative of R1 itself, because the output from R1 itself suffered "overthinking, poor formatting, and extreme length". To support the research neighborhood, we now have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense fashions distilled from DeepSeek-R1 primarily based on Llama and Qwen. Some sources have observed that the official utility programming interface (API) model of R1, which runs from servers situated in China, uses censorship mechanisms for matters which might be thought of politically sensitive for the federal government of China. And begin-ups like DeepSeek are crucial as China pivots from traditional manufacturing similar to clothes and furnishings to advanced tech - chips, electric autos and AI. In structure, it's a variant of the usual sparsely-gated MoE, with "shared experts" which are at all times queried, and "routed consultants" that might not be. They changed the standard consideration mechanism by a low-rank approximation called multi-head latent attention (MLA), and used the mixture of experts (MoE) variant previously revealed in January. Burgess, Matt; Newman, Lily Hay (27 January 2025). "DeepSeek's Popular AI App Is Explicitly Sending US Data to China". Metz, Cade; Tobin, Meaghan (23 January 2025). "How Chinese A.I. Start-Up DeepSeek Is Competing With Silicon Valley Giants".

Lathan, Nadia (31 January 2025). "Texas governor orders ban on DeepSeek, RedNote for authorities devices".澎湃新闻 (22 January 2025). "量化巨头幻方创始人梁文锋参加总理座谈会并发言,他还创办了"AI界拼多多"". Paul, Katie; Nellis, Stephen (30 January 2025). "Chinese state-linked accounts hyped DeepSeek AI launch forward of US stock rout, Graphika says". Shalal, Andrea; Shepardson, David (28 January 2025). "White House evaluates impact of China AI app DeepSeek on nationwide safety, official says". By 27 January 2025, the app had surpassed ChatGPT as the highest-rated free app on the iOS App Store within the United States. Benchmark exams present that DeepSeek-V3 outperformed Llama 3.1 and Qwen 2.5 whereas matching GPT-4o and Claude 3.5 Sonnet. Despite its excellent performance, DeepSeek-V3 requires solely 2.788M H800 GPU hours for its full coaching. After following these unlawful sales on the Darknet, the perpetrator was identified and the operation was swiftly and discreetly eradicated. DeepSeek-R1-Zero demonstrates capabilities akin to self-verification, reflection, and generating long CoTs, marking a significant milestone for the research community. With RL, DeepSeek-R1-Zero naturally emerged with quite a few highly effective and fascinating reasoning behaviors.

  • Share

Reviews