Dictionary & Showcase
Fine-tuning Embeddings for Domain-Specific NLP
Fine-tuning embeddings are crucial for enhancing domain-specific NLP applications. General models may fall short in specialised fields like healthcare or law. By fine-tuning, models improve accuracy, relevance, and understanding of specific terminologies, ensuring better performance in niche tasks.
