Databricks AI integrates generative AI into its platform to empower users in building and monitoring AI and ML workflows. It offers tools for governance, discovery, versioning, access control, data monitoring, automated model training, model management, and high-availability model serving. Additionally, Databricks simplifies deep learning infrastructure configuration by providing clusters with built-in compatible versions of common libraries like TensorFlow and PyTorch, supporting GPU processing and parallelizing compute for scaling ML workflows and AI applications. The platform also facilitates the creation of scalable GPU endpoints for deep learning models without extra configuration. Furthermore, Databricks allows users to train custom models using proprietary datasets stored within the platform and supports the integration of open-source tools like Hugging Face and DeepSpeed to enhance model accuracy for specific tasks.
