autogen/website/docs/tutorial/what-next.md

• What Next?
• • Dig Deeper
  • Get Help
  • Get Involved

What Next?

Now that you have learned the basics of AutoGen, you can start to build your own
agents. Here are some ideas to get you started without going to the advanced
topics:

1. Chat with LLMs: In Human in the Loop we covered
   the basic human-in-the-loop usage. You can try to hook up different LLMs
   using local model servers like
   Ollama
   and LM Studio, and
   chat with them using the human-in-the-loop component of your human proxy
   agent.
2. Prompt Engineering: In Code Executors we
   covered the simple two agent scenario using GPT-4 and Python code executor.
   To make this scenario work for different LLMs and programming languages, you
   probably need to tune the system message of the code writer agent. Same with
   other scenarios that we have covered in this tutorial, you can also try to
   tune system messages for different LLMs.
3. Complex Tasks: In ConversationPatterns
   we covered the basic conversation patterns. You can try to find other tasks
   that can be decomposed into these patterns, and leverage the code executors
   and tools
   to make the agents more powerful.

Dig Deeper

• Read the topic docs to learn more
• Read the examples and guides in the notebooks section
• Check research and blog

Get Help

If you have any questions, you can ask in our GitHub
Discussions, or join
our Discord Server.

Get Involved

• Check out Roadmap Issues to see what we are working on.
• Contribute your work to our gallery
• Follow our contribution guide to make a pull request to AutoGen
• You can also share your work with the community on the Discord server.