Agent Bricks is a simple approach to build and optimize domain-specific, high-quality AI agent systems for common AI use cases. It aims to streamline the implementation of AI agent systems so that users can focus on the problem, data, and metrics instead.

Key Features:

• Build and optimize domain-specific AI agent systems
• Streamlined implementation process
• Automatic model fine-tuning and optimization
• Seamless integration with Databricks Data Intelligence Platform
• One-button optimized deployment
• Scales to zero after 30 minutes of inactivity

Use Cases:

• Information Extraction: Transform large volumes of unlabeled text documents into structured tables
• Custom LLM: Custom text generation tasks like summarization and classification
• Knowledge Assistant: Turn documents into a high-quality chatbot
• Multi-Agent Supervisor: Design a multi-agent AI system

Benefits:

• Focus on problem-solving rather than system implementation
• Automatic optimization for best system performance
• Integrated security and governance features
• Cost-effective with scale-to-zero feature
• Continuous improvement through background optimization