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亚马逊发布全新Nova 2模型家族,多项性能领先或追平GPT-5
Xin Lang Cai Jing· 2025-12-03 07:21
新浪科技讯 12月3日下午消息,在亚马逊云科技2025 re:Invent全球大会上,亚马逊宣布全面扩展其 Nova产品组合——推出四款全新的Nova 2模型及多项服务,宣布Nova 2模型在推理、多模态处理、对话 式AI、代码生成和Agent任务等方面,实现业内领先的价格性能比。 其中,Nova 2 Lite是一款面向日常工作负载的快速、经济型推理模型,能够处理文本、图像和视频输入 并生成文本输出。与Claude Haiku 4.5相比,该模型在15项基准测试中有13项持平或更优;与GPT-5 Mini 相比,在17项基准测试中,有11项持平或更优;与Gemini Flash 2.5相比,在18项基准测试中有14项持平 或更优。Nova 2 Lite在以下能力上尤为突出:处理各类文档、从视频中提取关键信息、生成代码、提供 准确的基于事实的回答,以及自动化执行多步骤的Agent工作流。 Nova 2 Pro是一款智能推理模型,能够处理文本、图像、视频和语音输入,并生成文本输出。它非常适 合用于需要最高准确率的高度复杂任务,如Agent编程(agentic coding)、长期规划以及复杂问题求 解。在公开基准 ...
Amazon to let cloud clients customize AI models midway through training for $100,000 a year
CNBC· 2025-12-02 16:00
Core Insights - Amazon Web Services (AWS) has launched Nova Forge, allowing cloud clients to extensively customize generative AI models at an annual cost of $100,000 [1][2] - Nova Forge enables organizations to access Amazon's AI models at various training stages, allowing for earlier data incorporation [1][2] - The service is positioned as a more affordable alternative to building custom models, which could cost hundreds of millions or billions of dollars [2] Model Performance and Market Share - AWS's Nova models, released in 2024, currently hold less than 5% market share in enterprise large language models (LLMs), with competitors like Anthropic and OpenAI leading the market [3] - Nova 2 Pro, a reasoning model, is reported to perform at least as well as leading models from Anthropic, OpenAI, and Google [7] - Nova 2 Omni is a versatile reasoning model capable of processing images, speech, text, and videos, aiming to simplify AI model integration [8] Customer Adoption and Use Cases - Tens of thousands of organizations utilize Nova models weekly, with AWS claiming millions of customers [9] - Internal Amazon teams, including those working on stores and the Alexa AI assistant, are also using Nova Forge [4] - Companies like Reddit, Booking.com, Nimbus Therapeutics, Nomura Research Institute, and Sony are developing models with Nova Forge [5][6]