WebGLM-2B aspires to provide an efficient and cost-effective web-enhanced question-answering system using the 2-billion-parameter General Language Model (GLM). It aims to improve real-world application deployment by integrating web search and retrieval capabilities into the pre-trained language model.
WebGLM is built by the following parts:
LLM-augmented Retriever
: Enhances the retrieval of relevant web content to better aid in answering questions accurately.
Bootstrapped Generator
: Generates human-like responses to questions, leveraging the power of the GLM to provide refined answers.
Human Preference-aware Scorer
: Estimates the quality of generated responses by prioritizing human preferences, ensuring the system produces useful and engaging content.
This repo is the implementation of
Bootstrap Generator
.
More Information About WebGLM-2B huggingface.co Model
WebGLM-2B huggingface.co
WebGLM-2B huggingface.co is an AI model on huggingface.co that provides WebGLM-2B's model effect (), which can be used instantly with this THUDM WebGLM-2B model. huggingface.co supports a free trial of the WebGLM-2B model, and also provides paid use of the WebGLM-2B. Support call WebGLM-2B model through api, including Node.js, Python, http.
WebGLM-2B huggingface.co is an online trial and call api platform, which integrates WebGLM-2B's modeling effects, including api services, and provides a free online trial of WebGLM-2B, you can try WebGLM-2B online for free by clicking the link below.
THUDM WebGLM-2B online free url in huggingface.co:
WebGLM-2B is an open source model from GitHub that offers a free installation service, and any user can find WebGLM-2B on GitHub to install. At the same time, huggingface.co provides the effect of WebGLM-2B install, users can directly use WebGLM-2B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.