Learn how to train and customize BERT and SBERT models for domain-specific applications in this 12-minute tutorial video. Explore the process of adapting transformer models to handle specialized terminology and complex nomenclature in fields like medicine and biochemistry. Discover whether pre-trained SBERT systems can effectively learn semantic relationships in specialized content and understand the role of fine-tuning in incorporating domain-specific information. Follow along through key topics including company-specific data handling, token sequence processing, addressing client requirements, and implementing practical solutions. Gain insights into leveraging Large Language Models like ChatGPT for domain-specific applications, with access to additional resources through curated YouTube playlists covering SBERT fine-tuning techniques and dataset preparation.