Revolutionizing Generative AI Development
Databricks has introduced the Mosaic AI Agent Framework and Agent Evaluation, now in public preview. These tools are designed to streamline the development and deployment of high-quality Agentic and Retrieval Augmented Generation (RAG) applications on the Databricks Data Intelligence Platform.
Key Features and Benefits
- Human Feedback Integration: Allows subject matter experts to review and provide feedback
- Comprehensive Evaluation Metrics: Measures accuracy, hallucination, harmfulness, and helpfulness
- End-to-End Development Workflow: Integrates with MLflow for seamless development to production transition
- App Lifecycle Management: Simplified SDK for managing agentic applications
Empowering Developers and Businesses
These new tools address common challenges in generative AI development, such as choosing the right metrics, collecting human feedback, and identifying quality issues. By providing a comprehensive framework, Databricks enables developers to rapidly iterate and improve their applications before deployment. Real-world applications have already shown promising results, with companies like Corning, Lippert, and FordDirect successfully implementing the Mosaic AI Agent Framework to enhance their AI solutions.
