A guide to fine-tuning and deploying custom embedding models for RAG applications on Amazon SageMaker using Sentence Transformers v3.
A guide to fine-tuning embedding models for RAG applications using Sentence Transformers 3, featuring Matryoshka Representation Learning for efficiency.
Learn how SetFit, a new approach from Intel Labs and Hugging Face, outperforms GPT-3 for text classification with minimal labeled data.
A tutorial on using Sentence Transformers models with TensorFlow and Keras to create text embeddings for semantic search and similarity tasks.
Learn to optimize Sentence Transformers models for faster inference using Hugging Face Optimum, ONNX Runtime, and dynamic quantization.
