메뉴 건너뛰기

S+ in K 4 JP

QnA 質疑応答

2025.02.01 03:25

Why I Hate Deepseek

조회 수 0 추천 수 0 댓글 0
?

단축키

Prev이전 문서

Next다음 문서

크게 작게 위로 아래로 댓글로 가기 인쇄 수정 삭제
?

단축키

Prev이전 문서

Next다음 문서

크게 작게 위로 아래로 댓글로 가기 인쇄 수정 삭제

De impact van DeepSeek AI op crypto: $ 2,5 miljard verdwijnt The meteoric rise of DeepSeek when it comes to usage and popularity triggered a stock market sell-off on Jan. 27, 2025, as buyers forged doubt on the worth of giant AI vendors primarily based within the U.S., together with Nvidia. deepseek ai china was founded in December 2023 by Liang Wenfeng, and launched its first AI large language mannequin the next year. This problem will change into extra pronounced when the internal dimension K is giant (Wortsman et al., 2023), a typical scenario in giant-scale model coaching where the batch size and mannequin width are elevated. However, the grasp weights (saved by the optimizer) and gradients (used for batch size accumulation) are nonetheless retained in FP32 to ensure numerical stability all through coaching. These activations are additionally stored in FP8 with our fine-grained quantization method, hanging a stability between memory effectivity and computational accuracy. Despite the efficiency advantage of the FP8 format, certain operators still require the next precision attributable to their sensitivity to low-precision computations.


Based on our blended precision FP8 framework, we introduce a number of methods to enhance low-precision coaching accuracy, specializing in both the quantization method and the multiplication course of. In Appendix B.2, we additional discuss the training instability when we group and scale activations on a block basis in the identical way as weights quantization. • Forwarding information between the IB (InfiniBand) and NVLink domain whereas aggregating IB traffic destined for a number of GPUs within the identical node from a single GPU. × 3.2 consultants/node) while preserving the same communication price. For the MoE all-to-all communication, we use the identical methodology as in coaching: first transferring tokens across nodes via IB, and then forwarding among the many intra-node GPUs via NVLink. Moreover, to additional cut back reminiscence and communication overhead in MoE training, we cache and deepseek dispatch activations in FP8, whereas storing low-precision optimizer states in BF16. Moreover, using SMs for communication results in significant inefficiencies, as tensor cores stay completely -utilized. To be particular, during MMA (Matrix Multiply-Accumulate) execution on Tensor Cores, intermediate results are accumulated using the restricted bit width. We deploy DeepSeek-V3 on the H800 cluster, where GPUs inside each node are interconnected using NVLink, and all GPUs throughout the cluster are fully interconnected by way of IB.


Benchmark tests present that DeepSeek-V3 outperformed Llama 3.1 and Qwen 2.5 while matching GPT-4o and Claude 3.5 Sonnet. These focused retentions of high precision ensure stable coaching dynamics for DeepSeek-V3. In conjunction with our FP8 coaching framework, we additional reduce the memory consumption and communication overhead by compressing cached activations and optimizer states into lower-precision codecs. However, this requires more cautious optimization of the algorithm that computes the globally optimal routing scheme and the fusion with the dispatch kernel to scale back overhead. The implementation of the kernels is co-designed with the MoE gating algorithm and the network topology of our cluster. To attain load balancing amongst completely different experts within the MoE part, we need to ensure that every GPU processes approximately the identical number of tokens. This overlap also ensures that, because the mannequin further scales up, as long as we maintain a constant computation-to-communication ratio, we are able to nonetheless make use of fine-grained consultants across nodes while achieving a close to-zero all-to-all communication overhead.


However, combined with our precise FP32 accumulation technique, it can be effectively applied. These GEMM operations settle for FP8 tensors as inputs and produce outputs in BF16 or FP32. These fashions produce responses incrementally, simulating a course of just like how humans reason through problems or ideas. An identical course of is also required for the activation gradient. Like the inputs of the Linear after the attention operator, scaling elements for this activation are integral power of 2. A similar technique is applied to the activation gradient before MoE down-projections. The attention half employs TP4 with SP, mixed with DP80, while the MoE half uses EP320. Abstract:We present deepseek ai-V3, a powerful Mixture-of-Experts (MoE) language mannequin with 671B whole parameters with 37B activated for every token. However, The Wall Street Journal acknowledged when it used 15 issues from the 2024 version of AIME, the o1 mannequin reached an answer sooner than DeepSeek-R1-Lite-Preview. Su et al. (2024) J. Su, M. Ahmed, Y. Lu, S. Pan, W. Bo, and Y. Liu. Touvron et al. (2023b) H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi, Y. Babaei, N. Bashlykov, S. Batra, P. Bhargava, S. Bhosale, D. Bikel, L. Blecher, C. Canton-Ferrer, M. Chen, G. Cucurull, D. Esiobu, J. Fernandes, J. Fu, W. Fu, B. Fuller, C. Gao, V. Goswami, N. Goyal, A. Hartshorn, S. Hosseini, R. Hou, H. Inan, M. Kardas, V. Kerkez, M. Khabsa, I. Kloumann, A. Korenev, P. S. Koura, M. Lachaux, T. Lavril, J. Lee, D. Liskovich, Y. Lu, Y. Mao, X. Martinet, T. Mihaylov, P. Mishra, I. Molybog, Y. Nie, A. Poulton, J. Reizenstein, R. Rungta, K. Saladi, A. Schelten, R. Silva, E. M. Smith, R. Subramanian, X. E. Tan, B. Tang, R. Taylor, A. Williams, J. X. Kuan, P. Xu, Z. Yan, I. Zarov, Y. Zhang, A. Fan, M. Kambadur, S. Narang, A. Rodriguez, R. Stojnic, S. Edunov, and T. Scialom.



If you liked this posting and you would like to get far more data with regards to ديب سيك kindly check out our own webpage.

List of Articles
번호 제목 글쓴이 날짜 조회 수
60236 The Ugly Reality About Play Aristocrat Pokies Online Australia Real Money new Joy04M0827381146 2025.02.01 1
60235 Declaring Bankruptcy When Are Obligated To Pay Irs Due new Kevin825495436714604 2025.02.01 0
60234 10 Reasons Why Hiring Tax Service Is Vital! new SuzetteCoaldrake11 2025.02.01 0
60233 Tax Attorney In Oregon Or Washington; Does Your Corporation Have Certain? new ReneB2957915750083194 2025.02.01 0
60232 Top Tax Scams For 2007 According To Irs new MelindaConnolly0950 2025.02.01 0
60231 Class="article-title" Id="articleTitle"> Orchard Apple Tree Lookout Product Delayed - Nikkei new EllaKnatchbull371931 2025.02.01 0
60230 It Cost Approximately 200 Million Yuan new SylviaGantt123068692 2025.02.01 0
60229 Why You're Kind Of Be Your Tax Preparer? new Aleida1336408251 2025.02.01 0
60228 Find Out How To Make More Deepseek By Doing Less new LatashiaTemple8457 2025.02.01 1
60227 Объявления Москва new EXKEsperanza417206 2025.02.01 0
60226 How Did We Get There? The Historical Past Of Out Advised Through Tweets new EstelaShockey12621 2025.02.01 0
60225 When Is The Fitting Time To Begin Deepseek new Fredric39Z74578487 2025.02.01 0
60224 Why Lease Is No Good Friend To Small Business new JohnnyEnnis988326087 2025.02.01 0
60223 7 Tips To Start Building A Deepseek You Always Wanted new TrishaStarnes35901 2025.02.01 0
60222 Menyelami Dunia Slot Gacor: Petualangan Tidak Terlupakan Di Kubet new HarryBechtel6196785 2025.02.01 0
60221 Is That This Deepseek Thing Actually That Tough new RusselHanlon42472 2025.02.01 2
60220 Beauty: Again To Basics new ElisabethGooding5134 2025.02.01 0
60219 KUBET: Situs Slot Gacor Penuh Kesempatan Menang Di 2024 new TorriMiethke17428 2025.02.01 0
60218 Bangkok: Do You Really Need It? It Will Make It Easier To Decide! new ElliottRagan96432806 2025.02.01 0
60217 What Warren Buffett Can Teach You About Aristocrat Online Pokies new JeannieMordaunt34512 2025.02.01 0
Board Pagination Prev 1 ... 57 58 59 60 61 62 63 64 65 66 ... 3073 Next
/ 3073
위로