在前面的章节中，我们系统地介绍了大模型的基础知识、训练方法和微调技术。本章将重点探讨大模型在实际应用中的关键技术和框架，涵盖大模型评测、RAG（检索增强生成）以及Agent（智能体）等核心内容，帮助读者深入理解大模型的实际应用场景和实现方法。

Abstract: This paper presents a file storage and sharing system implemented using IPFS Pinata, React.js and Hardhat which offer decentralized, effective, and secure access to digital assets. This ...

Many workplaces and educational institutions have completely switched from paper documents to digital ones. Consequently, Mac users are increasingly dealing with PDFs and other e-document file formats ...

You hear about it everywhere, from LinkedIn posts to keynote speakers to job listings: Learning to use AI is the way to get ahead in your job and help future-proof your career. But you may not know ...

To see how people judge someone based on their writing in the age of ChatGPT, my colleague Jiaqi Zhu and I recruited more than 1,300 U.S.-based participants, ages 18 to 84, and showed them ...

Abstract: Multi-robot task planning (MRTP) at scale in robotic mobile fulfillment systems (RMFS) remains a challenge due to the curse of dimensionality and complex dynamic properties. Aiming to solve ...

Millions of Americans are turning to AI chatbots for health answers. Doctors are, too. But the ways doctors are incorporating AI chatbots into their practice are surprising. Specialized medical AI ...

April 19 (Reuters) - The United States National Security Agency is using Anthropic's Mythos Preview AI tool despite ‌the Pentagon hitting the company with a formal supply-chain risk designation, Axios ...