- GitHub - qiboteam qibo: A full-stack framework for quantum computing.
Qibo is an open-source full stack API for quantum simulation and quantum hardware control Some of the key features of Qibo are: Definition of a standard language for the construction and execution of quantum circuits with device agnostic approach to simulation and quantum hardware control based on plug and play backend drivers A continuously growing code-base of quantum algorithms
- 岐伯：一个面向中医的大型语言模型 - 53AI-AI知识库|大模型知识库|大模型训练|智能体开发
在本文中，我们专注于开发和训练能够理解和应用中医药知识的LLM，以弥补现有模型在该领域的不足。 因此，我们提出了Qibo，这是第一个基于LLaMA的中医药（TCM）LLM，它实现了从预训练到SFT的流程。 本文的主要贡献如下： 我们为中医药训练了一个新的LLM。
- Qibo: A Large Language Model for Traditional Chinese Medicine
In addition, we have developed Qibo-Benchmark, a tool that evaluates the performance of LLM in the TCM on multiple dimensions, including subjective, objective, and three TCM NLP tasks The medical LLM trained with our pipeline, named Qibo, exhibits significant performance boosts
- Qibo: A Large Language Model for Traditional Chinese Medicine
In addition, we have developed Qibo-Benchmark, a tool that evaluates the perfor-mance of LLM in the TCM on multiple dimen-sions, including subjective, objective, and three TCM NLP tasks The medical LLM trained with our pipeline, named Qibo, exhibits sig-nificant performance boosts
- Qibo Qiu - Google 学术搜索
Zhejiang University - 引用次数：515 次 - computer vision - deep learning
- lt;br hidden= gt;Qibo：中医的大型语言模型,Expert Systems with Applications - X-MOL
大型语言模型 （LLM） 在许多专业领域取得了重大进展，包括医学、法律和金融。然而，在中医 （TCM） 中，存在理论与现代医学的本质差异、缺乏专门的语料库资源以及仅依赖监督微调等挑战，这导致了过度自信的预测。为了应对这些挑战，我们提出了一种两阶段的训练方法，将持续的预训练和有
- Qibo: A Large Language Model for traditional Chinese medicine
In addition, we develop Qibo-Benchmark, a tool evaluating the performance of LLM in TCM on multiple dimensions, including subjective, objective, and three TCM NLP tasks The medical LLM trained with our pipeline, named Qibo, exhibits significant performance boosts
- 盘点已问世的中医药大语言模型_仲景中医大语言模型-CSDN博客
ShenNong-TCM-LLM ShenNong-TCM 由 华东师范大学 团队完成，旨在推动LLM在中医药领域的发展和落地，提升LLM的在中医药方面的知识与回答医学咨询的能力，同时推动大模型赋能中医药传承。
|