AI Knowledge Base

Recently, the terms Autonomous AI (Agentic AI), AI Agents, and Agents have appeared frequently in the public eye. Frankly, despite being data analysts and scientists, people in the industry used to have no idea what this...

Large reasoning models exploit vulnerabilities when given the opportunity. Research suggests that these exploits can be detected by using large language models (LLMs) to monitor their chains-of-thought (CoT). Punishing models for "bad thoughts" does not prevent most misbehavior...

多智能体系统 (Multi-Agent System, MAS) 是一个由多个交互的智能体 (Intelligent Agent) 组成的计算系统。多智能体系统可用于解决单个智能体或单体系统难以解决或...

In recent years, with the rapid development of large-scale language modeling (LLM), the capability of Multi-Agent Systems (MAS) has been significantly improved. These systems are not only able to automate tasks, but also exhibit near-human reasoning capabilities. However, the transmission ...

If you have read Jina's last classic article "Design and Implementation of DeepSearch/DeepResearch", then you may want to dig deeper into some details that can greatly improve the quality of answers. This time, we will focus on two details: extracting optimal text from long web pages...

NoLiMA, released in February 2025, is a Large Language Model (LLM) method for assessing long text comprehension. Unlike traditional Needle-in-a-Haystack (NIAH) tests that rely on keyword matching, it is most...

1. Background and Issues With the rapid development of Artificial Intelligence (AI) technology, especially the advancement of diffusion modeling, AI has been able to generate very realistic portrait images. For example, technologies like InstantID require only one photo to generate multiple new images with the same identity...

Recently found an open source project, it provides a good RAG ideas, it will DeepSeek-R1 reasoning ability combined with Agentic Workflow applied to RAG retrieval Project address https://github...

1. INTRODUCTION In today's information explosion, a large amount of knowledge is stored in the form of tables in web pages, Wikipedia and relational databases. However, traditional question and answer systems often struggle to handle complex queries across multiple tables, which has become a major challenge in the field of artificial intelligence. To address this challenge, researchers ...

Introduction Have you ever wondered how the chatbots we use today, such as OpenAI's models, determine whether a question is safe and should be answered? In fact, these Large Reasoning Models (...

In recent years, the field of Artificial Intelligence (AI) has made significant progress in its reasoning capabilities. After OpenAI demonstrated the powerful inference potential of large language models (LLMs) last year, Google DeepMind, Alibaba, DeepSeek, and Anthropi...

Have you ever been in a situation where you type a keyword into a search engine and what comes up is not what you want? Or, you want to search for something, but you don't know what words to use to express the most accurate? Don't worry, "query expansion" technology can help you solve these problems. Recently, the query expansion...

The GPT-4.1 family of models provides significant improvements in coding, instruction adherence, and long context processing capabilities compared to GPT-4o. Specifically, it performs better on code generation and repair tasks, understands and executes complex instructions more accurately, and can efficiently handle longer input text...

Mastering Claude Code: Hands-on Agentic Coding Tips from the Front Lines Claude Code is a command-line tool for Agentic Coding. By agentic coding, we mean giving AI a certain degree of autonomy...

With the rapid development and wide application of large-scale language modeling technology, its potential security risks have increasingly become the focus of the industry's attention. In order to address these challenges, many of the world's top technology companies, standardization organizations and research institutions have constructed and released their own security frameworks. In this paper, we will analyze nine of the ...

In the field of Large Language Modeling (LLM) research, the model's Leap-of-Thought ability, i.e., creativity, is no less important than the logical reasoning ability represented by Chain-of-Thought. However, the current LLM creativity ...

摘要 我们介绍了Zep，这是一种新型的智能体记忆层服务，在深度记忆检索（DMR）基准测试中，其性能超越了当前最先进的系统MemGPT。此外，Zep在比DMR更全面、更具挑战性的评估中表现出色，这些评估...