Developed by THUDM, GLM-130B is an open-source model and powered by the FasterTransformer architecture. It enables rapid, low-latency natural language understanding and can be used to build tasks like text classification, machine reading comprehension and question answering. The model can also be used in applications like document summarization, machine translation and natural language generation. Furthermore, the model can be used for real-time inference with 2.5x faster speed than other similar models. With its open source license, developers can quickly and easily access the model and use it in their projects.
