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Why I Hate Deepseek

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Minda 작성일25-02-01 12:01

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It’s worth emphasizing that deepseek ai acquired most of the chips it used to prepare its mannequin back when promoting them to China was nonetheless authorized. It is worth noting that this modification reduces the WGMMA (Warpgroup-level Matrix Multiply-Accumulate) instruction situation price for a single warpgroup. Unlike most teams that relied on a single mannequin for the competitors, we utilized a twin-model method. Step 3: Concatenating dependent files to type a single instance and make use of repo-level minhash for deduplication. Thus, it was essential to employ applicable fashions and inference strategies to maximize accuracy throughout the constraints of limited reminiscence and FLOPs. This strategy stemmed from our examine on compute-optimum inference, demonstrating that weighted majority voting with a reward model persistently outperforms naive majority voting given the identical inference budget. The same day DeepSeek's AI assistant grew to become essentially the most-downloaded free app on Apple's App Store within the US, it was hit with "large-scale malicious assaults", the corporate said, causing the corporate to short-term restrict registrations. Stock market losses had been far deeper at the beginning of the day. Why this matters - market logic says we might do that: If AI turns out to be the easiest method to convert compute into income, then market logic says that eventually we’ll start to gentle up all of the silicon in the world - particularly the ‘dead’ silicon scattered around your own home right now - with little AI purposes.


dog-evil-rage-play-tooth-upset-friendshi The mannequin can ask the robots to perform duties and so they use onboard programs and software (e.g, local cameras and object detectors and movement insurance policies) to assist them do that. Given the problem issue (comparable to AMC12 and AIME exams) and the particular format (integer answers solely), we used a mixture of AMC, AIME, and Odyssey-Math as our problem set, removing multiple-choice options and deepseek filtering out problems with non-integer solutions. We prompted GPT-4o (and DeepSeek-Coder-V2) with few-shot examples to generate 64 solutions for every drawback, retaining those who led to appropriate answers. Our closing solutions have been derived by way of a weighted majority voting system, where the solutions had been generated by the policy model and the weights were determined by the scores from the reward model. The Chat variations of the two Base models was also released concurrently, obtained by coaching Base by supervised finetuning (SFT) adopted by direct coverage optimization (DPO).


The precise questions and take a look at cases will probably be launched quickly. In June 2024, they launched 4 models in the DeepSeek-Coder-V2 collection: V2-Base, V2-Lite-Base, V2-Instruct, V2-Lite-Instruct. It’s non-trivial to master all these required capabilities even for humans, let alone language fashions. You go on ChatGPT and it’s one-on-one. In recent times, it has change into best known as the tech behind chatbots such as ChatGPT - and DeepSeek - often known as generative el the 50 problems. However, it presents substantial reductions in both prices and energy utilization, reaching 60% of the GPU cost and energy consumption," the researchers write. However, with the slowing of Moore’s Law, which predicted the doubling of transistors each two years, and as transistor scaling (i.e., miniaturization) approaches fundamental physical limits, this method could yield diminishing returns and is probably not enough to keep up a significant lead over China in the long run.



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