Comments (2)
edbeeching
commented on August 26, 2024
Hi @patchie , thanks for your question. Unfortunately, this sort of question is beyond the scope of the alignment handbook. Perhaps you / your company would be interested in talking with our sales / support about this?
from alignment-handbook.
patchie
commented on August 26, 2024
Thank you for your fast response. I understand that my query might be outside the usual scope of this github. However, I believe my question touches upon a common interest for many users who seek to leverage existing email data for AI applications, especially in the context of chatbot development. It's somewhat surprising that this topic hasn't gathered more attention, considering the immense potential.
Thanks again for your time.
from alignment-handbook.
Related Issues (20)
- Released model weights for ablations of KTO/IPO/DPO cannot be found
- Cannot flatten integer dtype tensors HOT 1
- Question about sft with deepspeed HOT 1
- Unexpected behavior in apply_chat_template function adding repeated assistant turns HOT 1
- Question on "mlm" in continued pre-training HOT 2
- Wrong exception handling when loading dataset from local disk HOT 3
- Question about torch_dtype when runnging run_orpo.py HOT 6
- TRL/Alignment-Handbook torch.dtype Issues HOT 3
- https://github.com/huggingface/alignment-handbook HOT 1
- [email protected]
- SFTConfig type wrong HOT 4
- Exception: cannot import name 'log' from 'torch.distributed.elastic.agent.server.api' HOT 6
- TypeError: Trainer.create_model_card() got an unexpected keyword argument 'revision' HOT 2
- Self trained zephyr-7b-dpo-qlora MT-bench score dropped to 1.88 HOT 1
- Error when fine-tuning using the SFT with QLORA HOT 4
- Timeout when running 'run_cpt.py' HOT 1
- Constant training loss in the model adapter card HOT 1
- ModuleNotFoundError: No module named 'h4'
- Having troubles changing save_steps parameter for a resumed job. HOT 1
- Push to hub does not work HOT 3
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