Agents 2.0
Open source framework supporting data-driven adaptive language agents.
Product Details
aiwaves-cn/agents is an open source framework focusing on data-driven adaptive language agents. It provides a systematic framework for training language agents through symbolic learning, inspired by the connectionist learning process used to train neural networks. The framework implements backpropagation and gradient-based weight updates using language-based losses, gradients, and weights, supporting the optimization of multi-agent systems.
Main Features
How to Use
Target Users
The target audience is researchers and developers, especially those interested in the fields of natural language processing and machine learning. This product provides an innovative way to train and optimize language agents, suitable for users who need to build complex dialogue systems or automatic language processing tools.
Examples
Researchers use the framework to train chatbots to better understand user intent.
Developers use this framework to create automatic translation systems for multilingual environments.
Educational institutions adopt this framework to develop interactive language learning applications.
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