autogen/README.md
Enhanced LLM Inferences  Autogen also helps maximize the utility out of the expensive LLMs such as ChatGPT and GPT-4. It offers [enhanced LLM inference](https://microsoft.github.io/autogen/docs/Use-Cases/enhanced_inference#api-unification) with powerful functionalities like caching, error handling, multi-config inference and templating.  <!-- For example, you can optimize generations by LLM with your own tuning data, success metrics, and budgets.  ```python # perform tuning for openai<1 config, analysis = autogen.Completion.tune(     data=tune_data,     metric="success",     mode="max",     eval_func=eval_func,     inference_budget=0.05,     optimization_budget=3,     num_samples=-1, ) # perform inference for a test instance response = autogen.Completion.create(context=test_instance, **config) ```  Please find more [code examples](https://microsoft.github.io/autogen/docs/Examples#tune-gpt-models) for this feature. -->  <p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">   <a href="#readme-top" style="text-decoration: none; color: blue; font-weight: bold;">     ↑ Back to Top ↑   </a> </p> 