Learn the architecture of LLM Agents and their applications in task automation, focusing on code generation and the use of external APIs and tools.

Tackle the common challenges encountered during the development of LLM Agents, and see how integrations with Weights & Biases can provide clarity and control through 'Traces' and 'Prompts'.

Discuss various strategies for evaluating and testing LLM Agents, including A/B testing and performance metrics.

Experience a hands-on segment where you'll work on setting up a minimal LLM Agent, addressing real-world automation tasks, and understanding the step-by-step process of agent development and deployment.