microsoft/Text2Grad
🚀 Text2Grad: Converting natural language feedback into gradient signals for precise model optimization. Revolutionizing RLHF with span-level rewards and targeted improvements across code generation, summarization, and Q&A tasks.
When training large language models for tasks like code generation, summarization, or question answering, you often get general feedback that isn't specific enough for precise improvements. Text2Grad helps you convert detailed, free-form text critiques into targeted adjustments for your model. It takes your natural language feedback and processes it to pinpoint exactly which parts of the model's output need fixing, leading to more accurate and specific model optimization.
Use this if you are a machine learning engineer or researcher working on fine-tuning large language models and want to leverage precise, natural language feedback to improve model performance on specific tasks.
Not ideal if you are looking for a simple, off-the-shelf solution without needing to engage in data annotation or training reward models.
Stars
31
Forks
3
Language
Python
License
MIT
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
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