# txsun1997/Black-Box-Tuning

<https://repo.masters-masters.com/en/repos/txsun1997/Black-Box-Tuning>

[Home](https://repo.masters-masters.com/en) › [txsun1997](https://repo.masters-masters.com/en/owners/txsun1997) › [Black-Box-Tuning](https://repo.masters-masters.com/en/repos/txsun1997/Black-Box-Tuning)

txsun1997/Black-Box-Tuning has 277 stars on GitHub. Its RepoMasters card: Alpha tier. ICML'2022: Black-Box Tuning for Language-Model-as-a-Service &…

| Field | Value |
| --- | --- |
| Owner | [txsun1997](https://repo.masters-masters.com/en/owners/txsun1997) |
| Stars | 277 |
| Forks | 32 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | black-box-optimization, deep-learning, few-shot-learning, language-model, natural-language-processing, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [txsun1997/Black-Box-Tuning](https://github.com/txsun1997/Black-Box-Tuning) |

## Repository

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models

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.