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I am currently facing a few issues:
(1) What is the purpose of pretraining?
(2) In the model section of PointMamba/cfgs/finetune_modelnet.yaml, the parameter NAME:PointMamba, which indicates that th…
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# Advanced configuration for nginx
There are some small changes you can make to make your website faster, and a little more secure.
## Security enhancements
The original configuration will ke…
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### Description
I have trained a simple NMT dnn using the transformer model on a small dataset and I am pretty impressed by the good result achieved with just 4500 steps. Now the problem arises when …
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Hi Viewer,
I am performing predictions using both `XGBoost` and `Random Forest` models on a dataset, but I consistently observe that the Random Forest model achieves better `R²` scores and `correla…
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Development of a simple benchmark to evaluate the performance of different models with Solidity code. This benchmark will be used to measure the impact of fine-tuning on the models.
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on https://github.com/davecheney/gophercon2018-performance-tuning-workshop/blob/master/4-profiling/1-profiling.md
we're missing: https://github.com/davecheney/gophercon2018-performance-tuning-work…
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From https://github.com/OpenAdaptAI/OmniParser/issues/3:
1. **Objective**:
- Implement fine-tuning for OmniParser’s YOLO model to enhance detection accuracy on small icons and UI elements.
2…
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I have completely fine-tuning my model by LOMO, more details i'm using bloomz-7b1-mt as the backbone and finetuning it on Alpaca Instruction Dataset. I'm using my own data processing pipeline and just…
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Based on the [Nvidia Grace Performance Tuning Guide](https://docs.nvidia.com/grace-performance-tuning-guide.pdf), implement optimizations.
## Optimizations:
1. MTU to 9216 on interfaces
2. Disa…
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Q1: What does the description below from [README](https://github.com/FlagOpen/FlagEmbedding/blob/master/examples/reranker/README.md) mean specifically?
> train_group_size: the number of positive and…