project

Project summarization

1. CLIP from scratch: re-implement CLIP model from scratch on Flickr-8k: https://www.kaggle.com/code/ctrnquang/clip-model/notebook

2. Fine-tune Sentences-transformer for RAG to get a better retreival information: https://www.kaggle.com/code/ctrnquang/finetune-for-rag

• In this project, fine-tune BGE (Bi-Generative Embeddings) to improve the performance of RAG, RAG can return more relevance context for a query
• Base on this repo: https://github.com/FlagOpen/FlagEmbedding?tab=readme-ov-file

3. Diffusion from scratch with MNIST dataset: https://www.kaggle.com/code/ctrnquang/mnist-diffusion