Bedrock also supports technologies such

[taniakmhatuntrishaht]

Flexible customization to release data potential

Bedrock not only provides a wealth of pre-trained models, but also supports enterprises to use private data to customize models. Through the RAG (Representation, Action, Generation) framework, enterprises can easily integrate private data into the model training process to achieve personalized customization of the model. In addition, as fine-tuning and prompt engineering to further improve the accuracy and adaptability of the model.

Amazon Bedrock: An accelerator for enterprise intelligent greece whatsapp lead transformation
3. Rapid deployment to promote business innovation


After the model customization is completed, Bedrock provides a one-click deployment function to quickly integrate the model into the generative AI application. This rapid deployment capability enables enterprises to quickly apply AI technology to actual business scenarios and promote business innovation and development. Whether in customer service, marketing or product development, Bedrock can bring significant competitive advantages to enterprises.