01 Mar Agents Component of LangChain
Agents are systems that use large language models (LLMs) to decide what actions to take and in what order to accomplish a task.
They act as intelligent decision-makers, dynamically interacting with tools, APIs, or data sources to achieve a goal.
Types of Agents
- Single-Action Agents:
- Perform one specific task or action based on the input.
- Example: An agent that retrieves weather data from an API.
- Multi-Action Agents:
- Perform a sequence of actions or make decisions iteratively to solve complex problems.
- Example: An agent that plans a trip by booking flights, hotels, and transportation.
Why Are Agents Important?
- They enable autonomous and intelligent behavior, allowing systems to handle complex, multi-step tasks without predefined workflows.
- Agents are essential for building applications that require reasoning, planning, or interaction with external systems.
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