Comments (4)
Hi you all, apology for releasing the code a little bit late due to personal issues. The code is available to public now. I will immediately organize the documentation for easier reproduction and discussion.
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Links in the article https://aka.ms/LongMem and on the arxive page lead to this empty repo. Congratulations with your 'publication'!
This comment just shows that a Ph.D. in Mathematics can't teach anyone basic manners or common sense.
Having said that, I'm also looking forward to the release of the code, if the researchers are so kind to share it. The paper was released today, so I'll come back later.
from longmem.
Thank you, @Victorwz.
from longmem.
@Victorwz Don't apologize, this looks like amazing work and it's great that you have published the code open-source so that your paper is reproducible and allow others to build upon it. Thanks!
Like Otto rightfully said, Alex is the one who should apologize here.
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Related Issues (18)
- ... HOT 4
- UnboundLocalError of "new_batches" in iterators.py HOT 2
- No such file or directory: '/mnt/multimodal/data/text/data-bin/tnlg/dict.txt HOT 2
- Where is the model that I can train? HOT 2
- issues about options.py
- Question about memory storage and retrieval HOT 1
- RuntimeError: Expected hasRecord("version") to be true, but got false. HOT 1
- Pile dataset is no longer available.. HOT 2
- Fairseq error "Could not infer task type"
- Unable to Locate SQuAD Evaluation Scripts
- how to build valid dataset HOT 2
- How to build the training dataset of adaptive learning? HOT 2
- Is the technique applicable to Llama / Falcon models? HOT 1
- Use of scaled rotary in GPT-2 model HOT 2
- About dataset used in training and evaluation and model checkpoints HOT 2
- AttributeError: 'NoneType' object has no attribute 'get_smoothed_values' in "validate.py"
- How to use in fireSEQ
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