Open frutik opened 1 year ago
Leveraging frozen embeddings in Vespa with SentenceTransformers
Improving Product Search with Learning to Rank - part one Improving Product Search with Learning to Rank - part two
Pretrained Transformer Language Models for Search - part 1. Introduction to neural ranking and the MS Marco passage ranking dataset Pretrained Transformer Language Models for Search - part 2. Efficient retrievers, sparse, dense, and hybrid retrievers Pretrained Transformer Language Models for Search - part 3. Re-ranking using multi-representation models (ColBERT) Pretrained Transformer Language Models for Search - part 4. Re-ranking using cross-encoders
Improving Search Ranking with Few-Shot Prompting of LLMs
Leveraging frozen embeddings in Vespa with SentenceTransformers
Improving Product Search with Learning to Rank - part one Improving Product Search with Learning to Rank - part two
Pretrained Transformer Language Models for Search - part 1. Introduction to neural ranking and the MS Marco passage ranking dataset Pretrained Transformer Language Models for Search - part 2. Efficient retrievers, sparse, dense, and hybrid retrievers Pretrained Transformer Language Models for Search - part 3. Re-ranking using multi-representation models (ColBERT) Pretrained Transformer Language Models for Search - part 4. Re-ranking using cross-encoders
Improving Search Ranking with Few-Shot Prompting of LLMs