{"repo":"VectifyAI/Model-Augmented-Fine-Tuning","free":true,"listed":false,"github":"https://github.com/VectifyAI/Model-Augmented-Fine-Tuning","clone":"git clone https://github.com/VectifyAI/Model-Augmented-Fine-Tuning.git","description":"Fine-tuning black-box OpenAI embedding models","language":"Jupyter Notebook","stars":26,"topics":["embedding-models","fine-tuning","openai","rag","retrieval","retrieval-augmented-generation","embeddings","vector-database"],"license":"MIT","category":"ai-agents","readme_excerpt":"Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning A method to fine-tune the black-box OpenAI embedding to improve the retrieval performance 📈. 📝 See our paper Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning for a detailed introduction to this method. Other training details and dataset construction can be found in LlamaIndex's Blog. Install 🛠️ Fine-tune the BAAI/bge-small-en model Fine-tune the FAE model The comparison of the evaluation results can be found in the jupyter notebook 📊.","default_branch":null,"files":null,"tree":[],"storefront":"/r/VectifyAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/VectifyAI/Model-Augmented-Fine-Tuning/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}