How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
GitHub

ilyes-bk/LARK-Python-Specialized-License-Analysis-with-RAG-and-Knowledge-Graphs

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

detect_a_cycle_in_graph

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

New Alibaba AI framework skips loading every tool, cutting agent token use 99%

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

LangGraph 1.0：别再用 DAG 写 Agent 了，你的 Agent 需要一个操作系统

DAG 不是 Agent 编排的答案，它是 Agent 最简单的特例。无环图天生不能循环、反思、重试、恢复。LangGraph 的 StateGraph + Pregel 引擎 = Agent 的操作系统内核：调度、持久化、恢复三个原语 DAG 一个都没有。 1.为什么你的 Agent 跑着跑着就卡住了？ 去年我在一个项目里写了这样一个 Agent：让它调研一个 GitHub 仓库，读 READM ...
生物通

AI增强计算机辅助设计：建模操作的预测建模

该研究提出一种基于图的CAD辅助方法，可在参数化设计序列中预测下一个建模操作。研究人员将来自汽车领域的真实CATIA V5模型转换为有向无环图（Directed Acyclic Graph，DAG）以捕获特征依赖关系，从而实现直接从结构设计数据中学习。所采用的 该研究提出一种基于图的CAD辅助方法，可在参数化设计序列中预测下一个建模操作。研究人员将来自汽车领域的真实CATIA V5模型转换为有向无 ...
Communications of the ACM

The LLVM Compiler Infrastructure

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...
Tweakers

Junior-level Data Scientist & Software Developer

Job Description Within our Datalab team, we are looking for a junior-level data scientist & software developer with a strong quantitative background and an affinity for geopolitics and national and ...
Tech Times

Qualcomm Closes $3.9 Billion Modular Deal: Meta Validates Full-Stack CUDA Challenge

Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...
Security Boulevard

Cut your coding agent’s cost with Sonar Vortex

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
科技行者 on MSN

上海人工智能实验室的35B小模型，凭什么能打赢万亿参数的“巨无霸”?

这项由上海人工智能实验室主导的研究成果以预印本形式发布于2026年6月29日，论文编号为arXiv:2606.30616，有兴趣深入了解的读者可通过该编号查询完整原文。研究团队推出了一个名为Agents-A1的智能体模型，它的参数规模只有350亿，却在多项任务上的表现追平甚至超越了参数量超过万亿的顶级商业大模型。这个结果乍听起来有些不可思议——毕竟在AI领域 ...