Retrieval-Augmented Generation (RAG) enhances language learning models (LLMs) by accessing external knowledge bases for up-to-date information, says Tehsin Syed from Amazon Web Services. RAG not only helps to improve accuracy and eliminate bias, but also addresses concerns about misrepresentation of risk in AI models and can navigate unstructured data. Syed emphasizes that RAG can specifically aid healthcare institutions in automating medical coding and analyzing medication side effects.
Rentschler Withdraws from Cell and Gene Therapy Arena
Rentschler Biopharma is ceasing its cell and gene therapy operations, notably at its UK site, to focus on biologics. The company noted that the cell
