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- Optimize AI algorithms and computational workflows to ensure scalability and efficiency in processing large volumes of user responses.
- Explore techniques such as distributed computing, parallel p…
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```[tasklist]
### Tasks
- [ ] https://github.com/digdir/designsystemet/issues/2476
```
We want better semantic border-radius tokens. Example: checkbox should always be square
Started doing some rese…
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I am currently researching the best option to go with for the networking layer. I understand that gRPC was not initially made for P2P communication but instead for a Client/Server model, but I have se…
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I'm not sure how fine grained you want to go with the personas, but I think that there's a difference between a team lead who wants targeted training for their team, and a learning program manager (no…
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I appreciate your contribution, and I've been studying this paper recently, but have a few questions
**Question 1:**
In the paper,pipeline of proposed few-shot learning method, including three pha…
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Methods that we haven't implemented yet, but would like to. In no particular order:
- [ ] [Probablistic Global Distance Metric Learning](http://www.cs.cmu.edu/~liuy/frame_survey_v2.pdf)
- Probabil…
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## ❓ Questions & Help
In tutorial `Advanced_model_training_using_hyperopt.ipynb`, `Advanced_Model_Training.ipynb`, `Large_Scale_Chemical_Screens.ipynb`, `Learning_Unsupervised_Embeddings_for_Molecu…
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I use one NVIDIA L40S(48GB VRAM) to train a Lora for Flux, and here is my training script:
`./sd-scripts/flux_train_network.py --pretrained_model_name_or_path ./model/flux1-dev.safetensors --clip_l .…
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See "Auto-scaling scikit-learn with Apache Spark": https://databricks.com/blog/2016/02/08/auto-scaling-scikit-learn-with-apache-spark.html
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## Problem Description
_This is more a question than a problem_
In the ppo implementation, why advantage normalization is done for pg_loss, not for vf_loss? Say we have a rl env with a dense reward …