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small refractoring for new version
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docs/core-concepts/Training-Crew.md
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docs/core-concepts/Training-Crew.md
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---
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title: crewAI Train
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description: Learn how to train your crewAI agents by giving them feedback early on and get consistent results.
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---
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## Introduction
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The training feature in CrewAI allows you to train your AI agents using the command-line interface (CLI). By running the command `crewai train -n <n_iterations>`, you can specify the number of iterations for the training process.
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During training, CrewAI utilizes techniques to optimize the performance of your agents along with human feedback. This helps the agents improve their understanding, decision-making, and problem-solving abilities.
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To use the training feature, follow these steps:
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1. Open your terminal or command prompt.
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2. Navigate to the directory where your CrewAI project is located.
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3. Run the following command:
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```shell
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crewai train -n <n_iterations>
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```
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Replace `<n_iterations>` with the desired number of training iterations. This determines how many times the agents will go through the training process.
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Remember to also replace the placeholder inputs with the actual values you want to use on the main.py file in the `train` function.
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```python
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def train():
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"""
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Train the crew for a given number of iterations.
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"""
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inputs = {"topic": "AI LLMs"}
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try:
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ProjectCreationCrew().crew().train(n_iterations=int(sys.argv[1]), inputs=inputs)
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...
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```
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It is important to note that the training process may take some time, depending on the complexity of your agents and will also require your feedback on each iteration.
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Once the training is complete, your agents will be equipped with enhanced capabilities and knowledge, ready to tackle complex tasks and provide more consistent and valuable insights.
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Remember to regularly update and retrain your agents to ensure they stay up-to-date with the latest information and advancements in the field.
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Happy training with CrewAI!
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