MetaGPT is a multi-agent framework for assigning roles to various agents which leads to the formation of collaborative entities capable of executing complex instructions. Described as a “software company as multi-agent system,” MetaGPT can be used as a standalone app or as a library in Python scripts, offering flexibility and control in its framework.
The project started in April 2023, leveraging ChatGPT and currently has nearly 40K stars on GitHub. Its GitHub repository describes MetaGPT as:
MetaGPT takes a one line requirement as input and outputs user stories, competitive analysis, requirements, data structures, APIs, documents, and more. Internally, MetaGPT includes product managers, architects, project managers, and engineers, providing a comprehensive process of a software company along with carefully orchestrated SOPs.
MetaGPT’s Software Company Multi-Agent Schematic (Gradually Implementing) (from MetaGPT’s GitHub)
MetaGPT is versatile and can be used for code generation, prototyping, and project planning. It has gained recognition as an outstanding open source project and remains a trending GitHub repository.
Now, let’s delve into Data Interpreter, Deep Wisdom’s latest improvement to MetaGPT.
Full video to introduce MetaGPT Data Interpreter
Showcasing how to address electricity load forecasting challenges through dynamic planning, tool utilization, enhanced reasoning, and experience-based verification.
Repo: https://t.co/xWGS0UF9oWCases: https://t.co/GhNH54Ahhi… pic.twitter.com/Xc5aam1TXz
— MetaGPT (@MetaGPT_) March 19, 2024
Data Interpreter is another agent in the MetaGPT framework dedicated to solving data-related tasks. The paper describes Data Interpreter’s approach and highlights its superior performance in various machine learning tasks.
In this study, we introduce the Data Interpreter, a solution designed to solve data science problems by emphasizing dynamic planning, tool integration, and logical inconsistency identification. Compared to open-source baselines, it showed significant improvements in machine learning tasks.
Deep Wisdom has provided examples of how Data Interpreter can be used with MetaGPT. One example focuses on NVIDIA stock trend analysis, showcasing the capabilities of Data Interpreter in solving complex tasks.
To see a MetaGPT Data Interpreter prompt in action, here is an example related to NVIDIA Corporation stock analysis with instructions on data collection, analysis, and model training.
For more details, read the full paper and explore the project’s GitHub repository. MetaGPT, along with the Data Interpreter agent, is a valuable tool worth exploring.
About the Author: Matthew Mayo (@mattmayo13) is an Editor-in-Chief at KDnuggets with a background in computer science and data mining. His interests include natural language processing, machine learning algorithms, and AI democratization.
