Cybersecurity researchers have disclosed details of three now-patched security flaws impacting LangGraph, including a critical vulnerability chain that could result in remote code execution. LangGraph ...

同时处理实时监控、故障排查、性能分析等任务时，单一智能体往往难以胜任复杂、多步骤的场景。借助LangGraph可以构建一个多智能体协作系统，将不同职责拆解为专门的智能体，由一个 Supervisor 智能体统一调度，实现高效、可扩展的数据库运维系统。 构建背景 ...

为什么要用 Agent 框架？ 直接调 LLM API 就能完成简单任务——问答、翻译、摘要。但一旦涉及复杂流程，比如"先搜索资料再写报告，写完后自我检查，发现问题重新写"，就需要 Agent 模式：让模型自主决定调用什么工具、按什么顺序执行、什么时候停止。 Agent ...

、深度学习算法领域。擅长 Python、Matlab、神经网络、数据分析。他曾主导多个企业级智能系统与数据挖掘项目，在模型轻量化部署与工具集成方面具备丰富实战经验。 作者系机器学习领域分析师，拥有多年数据挖掘与模型开发经验。 相结合的智能体技术快速演进 ...

Autonomous AI systems are rapidly redefining software. They no longer wait for step-by-step human instruction, but actively pursue complex goals. This marks an evolution in technology, moving beyond ...

20+ years in tech. Currently deep in LLMs and agentic systems. Writing about what I'm actually building. Sydney-based. O At some point in building an agentic system, you will hit the same wall. An ...

Cybersecurity researchers have disclosed three security vulnerabilities impacting LangChain and LangGraph that, if successfully exploited, could expose filesystem data, environment secrets, and ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...