Simplify GenAI App Development with Secure, Custom AI Agents

Explore best practices for managing AI model lifecycles in production environments through this 42-minute talk by Databricks engineers Aakrati Talati and Ahmed Bilal. Dive into governance frameworks, monitoring strategies, and performance tracking methodologies crucial for maintaining high-performing, scalable, and compliant model APIs. Learn techniques for optimizing model delivery, enhancing transparency, and ensuring accountability in AI operations. Gain insights on building robust systems for serving and overseeing AI models, enabling you to maximize their potential while mitigating risks. Suitable for data scientists, ML engineers, and AI governance professionals, this session provides practical advice and real-world examples to help you navigate the complexities of AI implementation. Access additional resources like the LLM Compact Guide and Big Book of MLOps to further enhance your knowledge in this rapidly evolving field.

Simplify GenAI App Development with Secure, Custom AI Agents