# SqueezeAILab/LLM2LLM

<https://repo.masters-masters.com/en/repos/SqueezeAILab/LLM2LLM>

[Home](https://repo.masters-masters.com/en) › [SqueezeAILab](https://repo.masters-masters.com/en/owners/SqueezeAILab) › [LLM2LLM](https://repo.masters-masters.com/en/repos/SqueezeAILab/LLM2LLM)

SqueezeAILab/LLM2LLM has 196 stars on GitHub. Its RepoMasters card: Prototype tier. \[ACL 2024\] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

| Field | Value |
| --- | --- |
| Owner | [SqueezeAILab](https://repo.masters-masters.com/en/owners/SqueezeAILab) |
| Stars | 196 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | data-augmentation, llama, llama2, llm, llms, natural-language-processing, nlp, synthetic-dataset-generation, transformer |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SqueezeAILab/LLM2LLM](https://github.com/SqueezeAILab/LLM2LLM) |

## Repository

\[ACL 2024\] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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