2026年11月11日 星期三 1 小时前更新 1,124 篇报道 来源 RSS

The Wire

我们阅读的各家财经媒体,汇集于此。获得授权的报道全文转载并注明作者;其余内容仅包含标题和一小段引文,直接链接至出版方。

人工智能 — 1,124 篇报道

Machine Learning Mastery 人工智能 全文

Combining LLM Embeddings with Tabular Features in a Unified Scikit-learn Pipeline

In this article, you will learn how to build a unified scikit-learn pipeline that combines text embeddings generated by a lightweight open-source language model with structured tabular features for classification tasks.

Combining LLM Embeddings with Tabular Features in a Unified Scikit-learn Pipeline

Microsoft 人工智能 全文

How to build an AI agent: A simple guide for anyone

Learn how to build an AI agent in Microsoft 365 Copilot, from identifying a problem to testing, refining and sharing your agent.

How to build an AI agent: A simple guide for anyone

The Guardian 人工智能

Nvidia shaken by scandal amid wider political new order for big tech

A scandal tests Nvidia’s dominance as tech billionaires seek to mend ties with Democrats after the midterm elections This was originally published in TechScape, a newsletter about how technology shapes our lives. Sign…

Towards Data Science 人工智能

A Session-Start Hook Raised Claude Code Skill Firing From 15% to 62%

A software tester ran six testing skills on Haiku, Sonnet, and Opus; pushy descriptions added only 5 points, and near-miss requests never fired a skill. The post A Session-Start Hook Raised Claude Code Skill Firing From…

InfoQ 人工智能 全文

Article: LLM Reliability Layers Under Test: Accuracy, Yield, and the Limits of Verification

Verification layers sort outputs by trust rather than fixing errors. In a benchmark of six reliability layers, voting and self-correction failed to recover accuracy - they only withheld doubtful records. Production systems gain more…

Article: LLM Reliability Layers Under Test: Accuracy, Yield, and the Limits of Verification

NVIDIA 人工智能

Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA

As AI agents take on more work, they need capable open models and security that advances alongside them. Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime, while AIM…

MIT News 人工智能 全文

Building connections across the research infrastructure

The NanoFab Equipment Management and Operations (NEMO) conference at MIT.nano brought together lab managers from academia, industry, and government to collaborate on best practices and features to enhance shared nanofabrication facility…

Building connections across the research infrastructure

Google DeepMind 人工智能 全文

Gemini 4 Carbon: Our next frontier model

Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.

Gemini 4 Carbon: Our next frontier model

Microsoft Research 人工智能 全文

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess…

Simulating student learning for better AI tutoring
更多报道

标有全文的报道按出版方允许的条件在此转载,并注明作者、链接至原文。其余内容仅包含标题和一小段引文,直接链接至出版方。 我们如何引用 · 我们的来源