Adult participation in self-directed professional training has risen recently. This increase occurs as professionals ...
Tom Fenton benchmarks the Lenovo ThinkPad T1g Gen 8 across SPECworkstation 4, Geekbench AI and Ollama tests to assess its performance for office workloads, local AI and large language models.
行业调研显示，近半数研发有效工时耗在读存量代码、梳理调用链、维护遗留系统上。 微服务普及后，数十万行代码工程比比皆是，缺注释、文档滞后、模块耦合严重，这类难维护代码被业内称作“祖传代码”。
This is vibe coding for 3D printing.
AutoGen 退居维护模式、MAF 上位，是 Agent 框架生态正在发生的一个广泛变化。简单来说：框架的竞争正在从"谁的 Agent 更智能"转向"谁的 Agent 更容易生产化"。 把多 Agent 系统从原型代码推到生产环境，要做的工作远比想象中多。可观测性怎么接入？中间件怎么插？
13 天on MSNOpinion
Beyond RAG: Why every AI search platform is now agentic and what that means for your content
AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or ...
In this tutorial, we will generate knowledge graphs from plain text, conversations, and multiple source documents using kg-gen. We start by setting up the required dependencies and configuring an LLM ...
Metadata Graph Platforms and GraphRAG Enablement Services Gain Momentum as Enterprises Prioritize Trusted AI Data Infrastructure, Semantic Integration, and Operational Intelligence NEWARK, DE / ACCESS ...
Enterprise AI teams running centralized orchestration stacks now have a new variable to account for: AWS Quick, which expanded this week to a desktop-native agent that builds a persistent personal ...
Retrieval-augmented generation (RAG) technology can empower large language models (LLMs) to generate more accurate, professional, and timely responses without fine-tuning. However, due to the complex ...
本项目采用点到面的学习方式，不强制线性顺序。你可以从任意感兴趣的知识点开始学习，按需补充前置知识 ...
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