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All functionality should be launched using deepy.py, a wrapper around the deepspeed launcher.We currently offer three main functions:train.py is used for training and finetuning models. eval.py is used to evaluate a trained model using the language model evaluation harness. generate.py is used...
As the pair are hard at work fine-tuning their invention, C.J.’s older brother Calvin (Brian Bradley, aka Astro) is shot and killed by a police officer. C.J. decides, as anyone with a time machine rightfully would, that she’s going to go back in time and save him. Yet as ...
Low-bit quantization improves the efficiency of running large models on edge devices while also enabling model scaling by reducing the bits used to represent each parameter. This scaling enhances model capabilities, generality, and expressiveness, as shown by theBitNet model, which sta...
The tuning-fork and music rack, accordian and horn, Are for his son, who leads the band at Durley Fair each morn!" So straightway, Master Merrivein, so good and true and kind, Started him off to Durley Fair a day of rest to find. But did he find it? Oh, dear me! Go ascertain...
According to Josh, optimization is a matter of using optimization-as-code and finely tuning as much of the architecture as possible. To further optimize, it’s also important to govern effectively, with policy-as-code helping to automate the process. Back to top VMware's Alexander Romero ...
Furthermore, a graph neural network, Sheet-metalNet, is proposed for the efficient learning and interpretation of maFEGs. To tackle the second challenge, a three-component incremental learning strategy is proposed: an initial phase of pre-training and fine-tuning, a prototype sampling-based replay...
"DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation." CVPR Workshop (2024). [paper] [2024.07] Swin-LiteMedSAM:: Ruochen Gao, Donghang Lyu. "Swin-LiteMedSAM: A Lightweight Mulitple-Prompt-Based Segmentation Model for Large-Scale Medical Im...