# princeton-nlp/LESS

<https://repo.masters-masters.com/en/repos/princeton-nlp/LESS>

[Home](https://repo.masters-masters.com/en) › [princeton-nlp](https://repo.masters-masters.com/en/owners/princeton-nlp) › [LESS](https://repo.masters-masters.com/en/repos/princeton-nlp/LESS)

princeton-nlp/LESS has 543 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICML 2024\] LESS: Selecting Influential Data for Targeted Instruction Tuning

| Field | Value |
| --- | --- |
| Owner | [princeton-nlp](https://repo.masters-masters.com/en/owners/princeton-nlp) |
| Stars | 543 |
| Forks | 47 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Topics | data, data-selection, influence, instruction-tuning, llama, llm, mistral |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [princeton-nlp/LESS](https://github.com/princeton-nlp/LESS) |

## Repository

\[ICML 2024\] LESS: Selecting Influential Data for Targeted Instruction Tuning

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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