mirror of
https://github.com/crewAIInc/crewAI.git
synced 2025-12-16 12:28:30 +00:00
67 lines
2.6 KiB
Plaintext
67 lines
2.6 KiB
Plaintext
---
|
|
title: Training
|
|
description: Learn how to train your CrewAI agents by giving them feedback early on and get consistent results.
|
|
icon: dumbbell
|
|
---
|
|
|
|
## Introduction
|
|
|
|
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.
|
|
|
|
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.
|
|
|
|
### Training Your Crew Using the CLI
|
|
|
|
To use the training feature, follow these steps:
|
|
|
|
1. Open your terminal or command prompt.
|
|
2. Navigate to the directory where your CrewAI project is located.
|
|
3. Run the following command:
|
|
|
|
```shell
|
|
crewai train -n <n_iterations> <filename> (optional)
|
|
```
|
|
<Tip>
|
|
Replace `<n_iterations>` with the desired number of training iterations and `<filename>` with the appropriate filename ending with `.pkl`.
|
|
</Tip>
|
|
|
|
### Training Your Crew Programmatically
|
|
|
|
To train your crew programmatically, use the following steps:
|
|
|
|
1. Define the number of iterations for training.
|
|
2. Specify the input parameters for the training process.
|
|
3. Execute the training command within a try-except block to handle potential errors.
|
|
|
|
```python Code
|
|
n_iterations = 2
|
|
inputs = {"topic": "CrewAI Training"}
|
|
filename = "your_model.pkl"
|
|
|
|
try:
|
|
YourCrewName_Crew().crew().train(
|
|
n_iterations=n_iterations,
|
|
inputs=inputs,
|
|
filename=filename
|
|
)
|
|
|
|
except Exception as e:
|
|
raise Exception(f"An error occurred while training the crew: {e}")
|
|
```
|
|
|
|
### Key Points to Note
|
|
|
|
- **Positive Integer Requirement:** Ensure that the number of iterations (`n_iterations`) is a positive integer. The code will raise a `ValueError` if this condition is not met.
|
|
- **Filename Requirement:** Ensure that the filename ends with `.pkl`. The code will raise a `ValueError` if this condition is not met.
|
|
- **Error Handling:** The code handles subprocess errors and unexpected exceptions, providing error messages to the user.
|
|
|
|
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.
|
|
|
|
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.
|
|
|
|
Remember to regularly update and retrain your agents to ensure they stay up-to-date with the latest information and advancements in the field.
|
|
|
|
Happy training with CrewAI! 🚀
|
|
|