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update (microsoft#2178)
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Co-authored-by: AnonymousRepoSub <“[email protected]” >
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skzhang1 and AnonymousRepoSub authored Mar 28, 2024
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**TL;DR:**
Introducing **AgentOptimizer**, a new class for training LLM agents in the era of LLMs as a service.
**AgentOptimizer** is able to prompt LLMs to iteratively optimize function/skills of AutoGen agents according to the historical conversation and performance.
Checkout one implementation for **AgentOptimizer** on [MATH](https://github.com/hendrycks/math) dataset
[here](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_agentoptimizer.ipynb).

More information could be found in the [paper](https://arxiv.org/abs/2402.11359).
More information could be found in:

**Paper**: https://arxiv.org/abs/2402.11359.

**Notebook**: https://github.com/microsoft/autogen/blob/main/notebook/agentchat_agentoptimizer.ipynb.

## Introduction
In the traditional ML pipeline, we train a model by updating its weights according to the loss on the training set, while in the era of LLM agents, how should we train an agent?
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