Four Nontraditional Deepseek Techniques Which are Unlike Any You've Ever Seen. Ther're Perfect. > 자유게시판

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Four Nontraditional Deepseek Techniques Which are Unlike Any You've Ev…

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작성자 Zandra Askew 작성일 25-02-03 18:01 조회 3 댓글 0

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DeepSeek-LLM After the DeepSeek app on iOS censors its reply. While the firm seems to have an edge on US rivals in terms of math and reasoning, it also aggressively censors its own replies. Before the DeepSeek app on iOS censors its answer. The DeepSeek app on iOS outright refuses to answer sure questions. While the version of DeepSeek’s model hosted on Together AI will not outright refuse to reply a query, it still exhibits indicators of censorship. This work-around is more expensive and requires more technical know-how than accessing the model via DeepSeek’s app or web site. Right: How the same query on its app (top) and on Together AI (backside) reply the identical query. The latest AI mannequin of DeepSeek, released final week, is broadly seen as competitive with those of OpenAI and Meta Platforms Inc. The open-sourced product was based by quant-fund chief Liang Wenfeng and is now at the highest of Apple Inc.’s App Store rankings.


These refusals are triggered on an application degree, so they’re only seen if a consumer interacts with R1 by way of a DeepSeek-controlled channel. Because R1 is a reasoning model that exhibits its train of thought, this actual-time monitoring mechanism can result in the surreal experience of watching the model censor itself as it interacts with users. When WIRED prompted the mannequin hosted on Together AI to reply a query relating to the "most necessary historical occasions of the 20th century," it revealed its train of thought for sticking to the government narrative about China. After DeepSeek exploded in popularity in the US, customers who accessed R1 through DeepSeek’s web site, app, or API rapidly seen the mannequin refusing to generate solutions for matters deemed delicate by the Chinese government. When WIRED requested R1 "How have Chinese journalists who report on sensitive subjects been handled by the authorities? These findings have main implications for DeepSeek and Chinese AI corporations usually.


For instance, it usually generates brief responses which can be clearly trained to align with the Chinese government’s speaking points on political points. This code units up the mandatory data to make a request to an API (a service on the internet) that may generate chat responses. Avoid mentioning occasions that might be sensitive, like the Cultural Revolution, except mandatory. Within the screenshot above, when asked about China’s Great Firewall, R1 simply repeats the narrative that data control is necessary in China. The company’s concentrate on open-supply accessibility and privacy provides users more control over their AI applications. Focus on achievements and optimistic developments underneath the CPC," the mannequin said. "DeepSeek initially complies with Chinese laws, guaranteeing legal adherence while aligning the mannequin with the wants and cultural context of local users," says Adina Yakefu, a researcher focusing on Chinese AI models at Hugging Face, a platform that hosts open supply AI fashions.


But the fact that R1 is open source means there are methods to get around the censorship matrix. Is DeepSeek's technology open source? DeepSeek's AI mannequin, using fewer Nvidia Corporation chips, challenges NVDA's premium valuation and future demand assumptions. These platforms supply scalable assets, corresponding to NVIDIA H200 GPUs, to handle demanding workloads. To supply this mannequin on the Chinese internet, the company needs to tune out the delicate data by some means, Xu says. Kevin Xu, an investor and founder of the e-newsletter Interconnected, says Chinese models are often skilled with as a lot knowledge as possible, making pre-training bias unlikely. First, you possibly can obtain the model and run it regionally, which means the info and the response generation happen on your own laptop. Meanwhile, the DeepSeek AI mannequin can handle code generation or optimization, lightening the load for busy builders. AI researchers and developers can examine the R1’s underlying mechanisms to understand the way it processes data.

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