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Huggingface: Instruction Tuning Seq2Seq Models #2365

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kevinscaria opened this issue Nov 9, 2023 · 3 comments
Open

Huggingface: Instruction Tuning Seq2Seq Models #2365

kevinscaria opened this issue Nov 9, 2023 · 3 comments
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@kevinscaria
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enhancement New feature or request

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@kevinscaria
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Problem Description
This notebook demonstrates how to instruction tune SeqSeq models using huggingface transformers. Instruction tuning is a machine learning paradigm where a model is trained to follow instructions for a given task. Instructions facilitate large language models (LLMs) with in-context learning to improve performance.
@FlorentLvr
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Hello @kevinscaria, I am glad you want to contribute on our repository! 🚀
Please follow these instructions to start contributing. -> https://github.com/jupyter-naas/awesome-notebooks/blob/master/README.md#how-to-contribute
Let me know if you have any questions! 🙏
Cheers!

@FlorentLvr FlorentLvr added the enhancement New feature or request label Nov 9, 2023
@kevinscaria
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@FlorentLvr I have completed the same.

@FlorentLvr
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@FlorentLvr I have completed the same.

Great! You should received an email to join our team on GitHub. 🚀
You can now go to step2 for the technical and then start working on your template: https://github.com/jupyter-naas/awesome-notebooks#step-2-technical-setup
Let me know if you have any questions :)

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@kevinscaria kevinscaria

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2365-huggingface-instruction-tuning-seq2seq-models jupyter-naas/awesome-notebooks
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@FlorentLvr @kevinscaria