BenTsao BenCao
A Large Language Model of Chinese Medical Knowledge
开源项目
SoraWebui
SoraWebui is an open source platform based on the OpenAI Sora model that allows users to generate videos directly from text descriptions. It provides one-click deployment, user-friendly interface, and supports a variety of application scenarios such as education, marketing, and social media. This paper introduces its core features, deployment methods, applicable populations, and current advantages and limitations.
BabelDOC
Funstory-ai is an open source PDF scientific and technical papers translation and bilingual comparison tool library (based on yadt open source library) of the official documents and guidelines site, the core focus on solving the scientific and technical PDF translation in the format of the messy, formulas / terminology processing is not good, the difficulty of adapting to the multi-terminal and other pain points, to provide high-fidelity PDF translation capabilities for researchers, students, developers, support for online use, local deployment, embedded development of three modes. It supports three modes: online use, local deployment, and embedded development, and focuses on preserving the original document layout structure while realizing accurate bilingual translation, which is an AI translation solution specially designed for scientific and technological literature.
MemOS
The official Chinese platform of MemOS, the core is to build a unified memory management underlying architecture for general artificial intelligence (AGI), so that the intelligent system can have human brain-like adaptable, relocatable, and shareable long-term and instant memory, and empower large language model (LLM) applications to realize the upgrade of the "memory capacity".
FastGPT
FastGPT is the open source, enterprise-grade AI Intelligence Body building platform that provides visual workflows, knowledge bases, and RAG systems. trusted by 500,000+ users, get started for free today.
CoPaw
Your AI personal assistant; minimal installation, local and cloud deployment; support for multi-access, easy expansion of capabilities.
HELM
HELM is a large model evaluation system introduced by Stanford University. The evaluation methodology consists of three main modules: scenarios, fitness, and metrics, and each evaluation run requires the specification of a scenario, a prompt to fit the model, and one or more metrics.
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