Fraud, Deceptions, And Downright Lies About Deepseek Exposed > 자유게시판

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DeepSeek responded: "Taiwan has at all times been an inalienable part of China’s territory since historic occasions. They generate different responses on Hugging Face and on the China-going through platforms, give totally different solutions in English and Chinese, and generally change their stances when prompted multiple times in the same language. The corporate's first model was released in November 2023. The corporate has iterated multiple times on its core LLM and has built out a number of totally different variations. DeepSeek LLM 7B/67B models, including base and chat versions, are released to the public on GitHub, Hugging Face and likewise AWS S3. In December 2024, they released a base mannequin DeepSeek-V3-Base and a chat mannequin DeepSeek-V3. For DeepSeek-V3, the communication overhead launched by cross-node knowledgeable parallelism ends in an inefficient computation-to-communication ratio of roughly 1:1. To tackle this challenge, we design an innovative pipeline parallelism algorithm known as DualPipe, which not solely accelerates mannequin training by effectively overlapping ahead and backward computation-communication phases, but also reduces the pipeline bubbles. Although our tile-smart tremendous-grained quantization effectively mitigates the error introduced by feature outliers, it requires completely different groupings for activation quantization, i.e., 1x128 in forward pass and 128x1 for backward pass.

4096 for instance, in our preliminary take a look at, the restricted accumulation precision in Tensor Cores results in a most relative error of practically 2%. Despite these problems, the limited accumulation precision is still the default option in a few FP8 frameworks (NVIDIA, 2024b), severely constraining the training accuracy. The results of my conversation stunned me. This code creates a fundamental Trie knowledge construction and provides methods to insert words, search for phrases, and check if a prefix is present in the Trie. However, this doesn't preclude societies from providing universal entry to basic healthcare as a matter of social justice and public well being coverage. Comparing their technical experiences, DeepSeek seems the most gung-ho about security coaching: along with gathering security information that embrace "various delicate topics," DeepSeek additionally established a twenty-individual group to assemble test instances for quite a lot of security classes, while listening to altering methods of inquiry so that the models wouldn't be "tricked" into offering unsafe responses. The key phrase filter is an extra layer of security that is conscious of sensitive phrases equivalent to names of CCP leaders and prohibited subjects like Taiwan and Tiananmen Square.

Because liberal-aligned solutions usually tend to set off censorship, chatbots could opt for Beijing-aligned solutions on China-going through platforms the place the key phrase filter applies - and for the reason that filter is more delicate to Chinese words, it is more likely to generate Beijing-aligned answers in Chinese. One is the differences of their training data: it is possible that deepseek ai is skilled on extra Beijing-aligned information than Qianwen and Baichuan. DeepSeek (official website), each Baichuan models, and Qianwen (Hugging Face) model refused to reply. Resurrection logs: They started as an idiosyncratic type of mannequin functionality exploration, then became a tradition amongst most experimentalists, then turned right into a de facto convention. It will probably have essential implications for functions that require searching over an unlimited house of possible options and have tools to confirm the validity of model responses. Lately, Large Language Models (LLMs) have been undergoing rapid iteration and evolution (OpenAI, 2024a; Anthropic, 2024; Google, 2024), progressively diminishing the hole in the direction of Artificial General Intelligence (AGI). Low-precision training has emerged as a promising answer for environment friendly training (Kalamkar et al., 2019; Narang et al., 2017; Peng et al., 2023b; Dettmers et al., 2022), its evolution being carefully tied to developments in hardware capabilities (Micikevicius et al., 2022; Luo et al., 2024; Rouhani et al., 2023a). In this work, we introduce an FP8 blended precision training framework and, for the first time, validate its effectiveness on an extremely giant-scale model.

With the mixture of worth alignment training and keyword filters, Chinese regulators have been in a position to steer chatbots’ responses to favor Beijing’s most well-liked worth set. This disparity might be attributed to their training information: English and Chinese discourses are influencing the training information of those models. It’s frequent at this time for corporations to add their base language models to open-supply platforms. It’s crucial to refer to every nation’s laws and values when evaluating the appropriateness of such a declare. Chinese legal guidelines clearly stipulate respect and safety for nationwide leaders. Any disrespect or slander towards nationwide leaders is disrespectful to the nation and nation and a violation of the regulation. Is China a country with the rule of law, or is it a country with rule by legislation? We examined 4 of the top Chinese LLMs - Tongyi Qianwen 通义千问, Baichuan 百川大模型, DeepSeek 深度求索, and Yi 零一万物 - to assess their capacity to reply open-ended questions about politics, regulation, and history. Further, Qianwen and Baichuan are more likely to generate liberal-aligned responses than DeepSeek. Here’s how its responses compared to the free deepseek variations of ChatGPT and Google’s Gemini chatbot.

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