Sequential Processing (Prompt Chaining)
Description
Sequential processing executes LLM operations in a predefined order. Each step's output becomes input for the next step, creating a clear flow from start to finish. You can add quality checks betwee...

Tiger's Place

Sequential processing involves executing LLM operations in a predefined sequence where each step's output serves as input for the next. Routing dynamically sorts input for specific handling based on its characteristics. Parallelization allows multiple operations to run simultaneously, combining their results. The orchestrator-worker pattern uses a main LLM to plan tasks and assigns them to specialized worker LLMs. The evaluator-optimizer pattern refines outputs through iterative feedback loops until they meet quality standards. Lastly, multi-step tool usage involves LLMs using tools repeatedly to solve problems, ensuring structured outputs by using a specific 'answer tool' to finalize the process.

Agent Recipes (code & visuals)

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