AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

1733历史快讯
103开源工具
10当前结果
07 月 10 日 昨日快讯

AWS Machine Learning 动态:Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization

原文摘要:In this post, we explore what makes the Nemotron 3 architecture unique, walk through the fine-tuning techniques available, and show you step-by-step how to get started with serverl 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

GitHub 开发者博客 官方资讯

GitHub 开发者博客:Better tools made Copilot code review worse. Here’s how we actually improved it.

原文摘要:How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent 工作流 around pull request evidence. The post Better tools m 来源:GitHub 开发者博客。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore

原文摘要:Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents across long-running ent 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Deploying quantized models on Amazon SageMaker AI with Unsloth

原文摘要:In this post, you will learn four deployment patterns for taking models that have already been quantized with Unsloth and deploying them on AWS infrastructure. The patterns use Ama 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Scaling agentic 工作流 with native case management in Amazon Quick Automate

原文摘要:In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the lifecycle of cases in 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

原文摘要:In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on A 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Real-time dental image verification with Amazon SageMaker AI at Henry Schein One

原文摘要:This post describes how Henry Schein One closed that gap by building Image Verify, an AI-powered quality verification system on Amazon SageMaker AI that evaluates dental X-ray qual 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Slack Introduces Agent Driven End-to-End Testing to Improve Resilience in UI Test Automation

原文摘要:Agentic testing is an AI-driven approach to end-to-end test automation introduced by Slack engineering. It uses AI agents that execute 工作流 based on intent rather than fixed s 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。