# SinclairCoder/Instruction-Tuning-Papers

<https://repo.masters-masters.com/en/repos/SinclairCoder/Instruction-Tuning-Papers>

[Home](https://repo.masters-masters.com/en) › [SinclairCoder](https://repo.masters-masters.com/en/owners/SinclairCoder) › [Instruction-Tuning-Papers](https://repo.masters-masters.com/en/repos/SinclairCoder/Instruction-Tuning-Papers)

SinclairCoder/Instruction-Tuning-Papers has 768 stars on GitHub. Its RepoMasters card: Beta tier. Reading list of Instruction-tuning. A trend starts from…

| Field | Value |
| --- | --- |
| Owner | [SinclairCoder](https://repo.masters-masters.com/en/owners/SinclairCoder) |
| Stars | 768 |
| Forks | 23 |
| Language | No language |
| License | None |
| Created | 2022 |
| Topics | cross-task-generalization, generalization, instruction, multi-task-learning, natural-language-processing, natural-language-generation, natural-language-understanding, prompt-learning, instruction-following, large-language-models |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [SinclairCoder/Instruction-Tuning-Papers](https://github.com/SinclairCoder/Instruction-Tuning-Papers) |

## Repository

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
