Agentic Frameworks
Sunil explores the concept of agentic behavior in reinforcement learning, emphasizing its goal-oriented nature in root cause analysis. He introduces a structured framework that categorizes agents, actors, and directors, highlighting the importance of reliable task execution and the need for orchestration in discovering and addressing system issues. This discussion underscores the application of software engineering principles to create repeatable patterns and effective interfaces among components.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
An Agentic Mixture of Experts for DevOps with Sunil Mallya - 708
Related Questions
What are agents in artificial intelligence as discussed in the episode An Agentic Mixture of Experts for DevOps with Sunil Mallya - 708 and the clip Agentic Frameworks?
How can you build an AI agent as discussed in the episode Exploring the Impact of Agentic Workflows // Raj Rikhy // #268 and the clip Agentic AI Potential?
What are agents in artificial intelligence?