YutongWang1216/ReflectionLLMMT
Code and data realeases for the paper -- TasTe: Teaching Large Language Models to Translate through Self-Reflection
This project helps improve the quality of machine translations generated by large language models. It takes your existing large language model and training data, then outputs a fine-tuned model that can produce more accurate and nuanced translations. Translators, localization managers, and anyone needing high-quality automated translation would find this beneficial.
No commits in the last 6 months.
Use this if you are developing or managing machine translation systems and want to significantly boost the accuracy and contextual appropriateness of translations produced by large language models.
Not ideal if you need a pre-built, ready-to-use translation service without any custom model training or development.
Stars
13
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 17, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/YutongWang1216/ReflectionLLMMT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jncraton/languagemodels
Explore large language models in 512MB of RAM
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
haizelabs/verdict
Inference-time scaling for LLMs-as-a-judge.
albertan017/LLM4Decompile
Reverse Engineering: Decompiling Binary Code with Large Language Models
bytedance/Sa2VA
Official Repo For Pixel-LLM Codebase