The output of `python collect_env.py` 2025-01-17 06:31:45.229125: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point roun
Besides, the design of loss functions is a crucial aspect in improving Person Search models. Common loss functions include Triplet Loss, Online Instance Matching (OIM) [1] Loss, etc. The TOIM Loss function deployed in the DAAPS model combines the above two loss functions to match instances ...
With the advancement of communication technology, mobile edge computing (MEC) is considered a key technology for handling computation-intensive and latency-sensitive tasks. However, in scenarios such as disaster response and emergency rescue, edge servers cannot be quickly deployed to provide task ...
Importance of Encoder Models:Encoder models like BERT are highly effective in tasks that require understanding and analyzing text. Contribution of ModernBERT:Through technological innovations, it enhances the capabilities of encoder models, enabling them to process longer texts and perform tasks more effic...
of computation and communication. In contrast, tensor parallelism splits the model across devices by partitioning tensors, typically along the hidden dimension. For example, different slices of a large weight matrix may be assigned to different devices. The devices collectively compute t...
Meanwhile, a large number of simulations bring extremely expensive computing cost. To overcome this issue, a surrogate model is used to replace the high-fidelity simulation model. The surrogate model, also known as a meta-model2, is a simplified model with a small computation scale, but the ...
Meanwhile, a large number of simulations bring extremely expensive computing cost. To overcome this issue, a surrogate model is used to replace the high-fidelity simulation model. The surrogate model, also known as a meta-model2, is a simplified model with a small computation scale, but the ...
negative binomial model Lian Liu1, Shao-Wu Zhang1*, Yufei Huang2 and Jia Meng3,4* Abstract Background: As a newly emerged research area, RNA epigenetics has drawn increasing attention recently for the participation of RNA methylation and other modifications in a number of crucial biological ...
Figure 2: The Phi-3.5-MoE playground experience in GitHub. While we celebrate the release of Phi-3.5-MoE, we want to take this opportunity to highlight the complexities in training such models. Mixture of Experts (MoE) models can scale efficiently without a linear ...
Table 1: Breakdown of time spent per mechanism for LLAMA 3 8B inference on the ND H200 v5 virtual machine, with an input sequence length of 1024, output sequence length of 128, and batch size of 32. Resource optimization Since most of the inference time is spent on computation, the GPU ...