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Chi Wang 2023-09-27 21:01:09 +00:00
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commit e549fc4f80
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website/docs/Examples/AutoGen-OpenAI.md → website/docs/Examples/AutoGen-Inference.md
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website/docs/Getting-Started.md
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@ -37,6 +37,9 @@ user_proxy.initiate_chat(assistant, message="Plot a chart of META and TESLA stoc
The figure below shows an example conversation flow with AutoGen.
![Agent Chat Example](/img/chat_example.png)
* [Code examples](/docs/Examples/AutoGen-AgentChat).
* [Documentation](/docs/Use-Cases/agent_chat).
#### Enhanced LLM Inferences
Autogen also helps maximize the utility out of the expensive LLMs such as ChatGPT and GPT-4. It offers a drop-in replacement of `openai.Completion` or `openai.ChatCompletion` with powerful functionalites like tuning, caching, error handling, templating. For example, you can optimize generations by LLM with your own tuning data, success metrics and budgets.
```python
@ -54,11 +57,13 @@ config, analysis = autogen.Completion.tune(
response = autogen.Completion.create(context=test_instance, **config)
```
* [Code examples](/docs/Examples/AutoGen-Inference).
* [Documentation](/docs/Use-Cases/enhanced_inference).
### Where to Go Next?
* Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat).
* Understand the use cases for [enhanced LLM inference](/docs/Use-Cases/enhanced_inference).
* Find code examples from [Examples](/docs/Examples/AutoGen-AgentChat).
* Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat) and [enhanced LLM inference](/docs/Use-Cases/enhanced_inference).
* Find [code examples](/docs/Examples/AutoGen-AgentChat).
* Read [SDK](/docs/reference/agentchat/conversable_agent/).
* Learn about [research](/docs/Research) around AutoGen.
* Chat on [Discord](https://discord.gg/pAbnFJrkgZ).