A Case Using Search in ChatGPT
Zhiwei:
How does Anthropic define workflow vs agent?
ChatGPT 4.0:
Anthropic distinguishes between the concepts of “workflow” and “agent” in the context of AI systems and how they operate:
- Workflow:
- A workflow refers to a structured sequence of tasks or processes designed to achieve a specific goal. In AI, this typically involves a series of predefined steps, where each step depends on defined inputs and produces outputs. Workflows are often linear and rigid in structure, with a clear flow of control from one step to the next.
- Example: A typical workflow might involve an AI system that collects data, performs data cleaning, trains a model, and then deploys the model into production. Each of these steps is done in a defined order to reach the desired outcome.
- Agent:
- An agent, on the other hand, is a more autonomous and flexible entity. In AI, an agent is an entity that perceives its environment, makes decisions based on that perception, and takes actions to achieve its goals. Agents are designed to operate independently, adapting and learning from their interactions with the environment.
- Unlike workflows, which follow a fixed sequence of steps, agents are dynamic and can adjust their behavior based on varying inputs. They are capable of modifying their actions as they encounter new scenarios.
- Example: An AI agent could be a chatbot that learns and adapts its responses based on user interactions or a recommendation system that adjusts recommendations according to changing user preferences.
Key Differences:
- Structure: A workflow is more rigid and follows a predefined sequence, while an agent is flexible and adapts based on its environment and goals.
- Autonomy: Agents typically operate autonomously, learning and adapting over time, while workflows follow fixed steps with little to no real-time decision-making.
- Purpose: Workflows are used to automate a sequence of tasks, while agents focus on decision-making and achieving goals through interactions with their environment.
In summary, workflows are structured sequences of tasks, while agents are autonomous systems that make decisions and adapt to achieve their goals.
Zhiwei:
https://www.anthropic.com/research/building-effective-agents
Get the definition from here.
ChatGPT 4.0:
In the article “Building Effective Agents” by Anthropic, agents and workflows are defined as follows:
- Agents:
- An agent is an autonomous system capable of making decisions and taking actions to achieve specific goals. The agent can adjust its actions based on real-time feedback from its environment, making it flexible and dynamic.
- Agents are expected to handle complex tasks that require reasoning, interaction, and continuous adaptation. They use techniques such as planning, learning, and memory to improve decision-making over time.
- Anthropic emphasizes that agents are capable of “acting in the world” to carry out tasks and adapt their strategies when encountering new or unforeseen scenarios.
- Workflows:
- A workflow, in contrast, is a predefined and structured sequence of tasks designed to achieve a specific outcome. Workflows generally follow a set order and are predictable, with less need for real-time adaptation or decision-making.
- In AI, workflows might involve running a series of operations in a specific order, with defined inputs and outputs. They are typically static and are used for automating repetitive tasks or processes where flexibility is not necessary.
Key Distinction:
- Agents are autonomous systems that adapt and make decisions based on ongoing feedback, making them suitable for dynamic environments.
- Workflows are predefined, structured sequences used to automate tasks without needing real-time adjustments.
In essence, agents are decision-making systems that operate with flexibility and autonomy, whereas workflows are rigid sequences used to automate tasks.