Artificial Intelligence, Deep Learning, LLM Applications, Machine Learning, Natural Language Processing
Top 5 Sentence Transformer Embedding Mistakes and Their Easy Fixes for Better NLP Results
Are you using Sentence Transformers (like SBERT) but not getting the precision you expect? These powerful models transform text into embeddings—numerical representations capturing semantic meaning—for tasks like semantic search, clustering, and recommendation systems. Yet, subtle mistakes can si...