The "AI Workshop Info.pdf" provides a foundational understanding of building AI agents using LittleHorse, a workflow engine designed to coordinate AI tasks. It introduces the concept of an augmented LLM, enhanced with retrieval, tools, and memory capabilities, as a key building block. The document then outlines and explains various AI workflow patterns, including prompt chaining for sequential tasks, routing for conditional task execution, parallelization for simultaneous operations, orchestrator-workers for dynamic task delegation, and evaluator-optimizer for iterative refinement through feedback loops. Complementing this, the "New Recording 17.m4a" captures a workshop session where these concepts are explained in a beginner-friendly manner, further illustrating each AI workflow pattern with examples and real-world applications demonstrated through the LittleHorse dashboard.

LittleHorse AI Agent Workflow Patterns

Joseph Sapien