🔥 Heads-up: We have migrated AutoGen into a dedicated github repository. Alongside this move, we have also launched a dedicated Discord server and a website for comprehensive documentation.
🔥 The automated multi-agent chat framework in AutoGen is in preview from v2.0.0.
🔥 FLAML is highlighted in OpenAI's cookbook.
🔥 autogen is released with support for ChatGPT and GPT-4, based on Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference.
🔥 FLAML supports Code-First AutoML & Tuning – Private Preview in Microsoft Fabric Data Science.
FLAML is a lightweight Python library for efficient automation of machine learning and AI operations. It automates workflow based on large language models, machine learning models, etc. and optimizes their performance.
- FLAML enables building next-gen GPT-X applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation and optimization of a complex GPT-X workflow. It maximizes the performance of GPT-X models and augments their weakness.
- For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It is easy to customize or extend. Users can find their desired customizability from a smooth range.
- It supports fast and economical automatic tuning (e.g., inference hyperparameters for foundation models, configurations in MLOps/LMOps workflows, pipelines, mathematical/statistical models, algorithms, computing experiments, software configurations), capable of handling large search space with heterogeneous evaluation cost and complex constraints/guidance/early stopping.
FLAML is powered by a series of research studies from Microsoft Research and collaborators such as Penn State University, Stevens Institute of Technology, University of Washington, and University of Waterloo.
FLAML has a .NET implementation in ML.NET, an open-source, cross-platform machine learning framework for .NET.
FLAML requires Python version >= 3.8. It can be installed from pip:
pip install flamlMinimal dependencies are installed without extra options. You can install extra options based on the feature you need. For example, use the following to install the dependencies needed by the autogen package.
pip install "flaml[autogen]"Find more options in Installation.
Each of the notebook examples may require a specific option to be installed.
- (New) The autogen package enables the next-gen GPT-X applications with a generic multi-agent conversation framework. It offers customizable and conversable agents which integrate LLMs, tools and human. By automating chat among multiple capable agents, one can easily make them collectively perform tasks autonomously or with human feedback, including tasks that require using tools via code. For example,
from flaml import autogen
assistant = autogen.AssistantAgent("assistant")
user_proxy = autogen.UserProxyAgent("user_proxy")
user_proxy.initiate_chat(
a