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I checked the training data and found that there was no internal thought. When performing inference, is the ICL capability of LLM used?
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Hi,
Im studying CrewAI, i tried to create a crew to make docs about some code, when i try to use the new feature for train i got this error :
Traceback (most recent call last):
File "/home/well…
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I am working on ATAC-seq mice data and have developed a function to run bias model training across all folds and comparison groups. While testing the function with fold 1 and the group fed_vs_fasted_0…
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Thank you for your excellent work! It is really helpful and convenient to use.
I have some image data with discrete pixel values, for example, only 0 and 255. I tried training a VAE on it but the l…
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I am trying to train pv-rcnn model using a custom dataset.
I prepared my data as recommended in the custom_data_tutorial page, then I generated data info
then I used the following commands:
for …
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Hello,
Thanks for sharing the code. As requested in other issues, the links for SDD train/test data are expired. Could you update the link? The CVAE pretrained model for SDD dataset is also missing…
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1. Hi author I would like to know the minimum amount of training data needed for this model.
2. when my data is only a few hundred, can I make up for the lack of data by increasing the number of iter…
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Why?
What?
Helpful links
I think Nathan's analysis into reduced inductions might help here: https://educationgovuk.sharepoint.com/:w:/s/TeacherServices/EYnAA4QoY-xLm_zd5THGI_wBdAeoUqf6gJaULR2NYGDXKA…
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Is there any pre-trained model data or recommendation for the distilled qwen model? The effect has been verified on the llama model, but the performance on qwen is very poor. I suspect that the proble…
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Possible strategies:
* Create near duplicates from _orig_ layer of a normalized dataset, e.g. with [augtxt](https://github.com/ulf1/augtxt)
* "Translate" modern text to historical text. Options:
…