Building AI Agents with DeepSeek

Create autonomous AI agents using DeepSeek models.

Build agents that can plan, reason, and execute tasks.

What are AI Agents?

Autonomous systems that use LLMs to reason, plan, and take actions.

Agent Architecture

1. Perception: Understand environment

2. Planning: Decide actions

3. Action: Execute tasks

4. Memory: Remember context

Tools for Building Agents

✅ LangChain Agents

✅ AutoGPT

✅ CrewAI

✅ Custom implementations

Code Example

from langchain.agents import initialize_agent

from langchain.llms import DeepSeek

agent = initialize_agent(tools, DeepSeek(), agent=’zero-shot-react-description’)

Agent Types

✅ ReAct agents

✅ Planning agents

✅ Conversational agents

Use Cases

✅ Research assistants

✅ Code automation

✅ Customer support

Conclusion

AI agents enable powerful automation capabilities!

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