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Maharshi Gor
mgor
AI & ML interests
Representation Learning, Augmented LLMs, Question Answering, Model Analysis
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Agents vs. Workflows
Agents are systems where LLMs dynamically direct their processes and tool usage, maintaining control over how they accomplish tasks.
Workflows are through predefined code paths, ensuring that each step is executed in a deterministic manner.
Agents are like smart assistants that can think on their own. They understand situations, make decisions, and act, whatever the task is new or unpredictable. Think of the Agent as a chef who can make a meal based on what they have.
Workflows are like a recipe with fixed steps. They’re a series of tasks done in order, like following a checklist for approving a loan. They’re great for tasks that don’t change much.
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