AI在线 AI在线

Models

Former Google CEO's startup releases 24 billion-parameter chemical reasoning model with accuracy surpassing multiple leading models

In the field of artificial intelligence, research on large models continues to advance, particularly in improving reasoning capabilities. Recently, FutureHouse, a startup funded by former Google CEO Eric Schmidt, has open-sourced a chemical task reasoning model named ether0, with a parameter scale as high as 24 billion. This model demonstrates strong domain-specific capabilities in chemistry without requiring additional pre-training in specific fields, achieving remarkable results through post-training techniques while significantly reducing data requirements compared to traditional field-specific models.The application of reasoning models goes beyond simple multiple-choice tests.
6/17/2025 9:03:21 PM
AI在线

DeepSeek R1 Model Shocks the AI World: Low-Cost, High Efficiency Leads a New Industry Track

In January of this year, the release of DeepSeek's R1 model was not just an ordinary AI announcement; it was hailed as a "watershed moment" in the tech industry, causing a significant stir across the entire technology sector and forcing industry leaders to rethink their fundamental approaches to AI development. DeepSeek's extraordinary achievements did not stem from novel features but from its ability to deliver results comparable to those of tech giants at a fraction of the cost, marking the rapid progress of AI along two parallel tracks: "efficiency" and "computing."Innovation Under Constraints: High Performance at Low CostDeepSeek's emergence has been remarkable, showcasing the capability for innovation even under significant constraints. In response to U.S.
6/16/2025 12:01:13 PM
AI在线

Grok3现已在GitHub Models推出公开预览版

xAI最新的人工智能模型Grok3已正式在GitHub Models上推出公开预览版,这一举措为开发者和企业利用先进AI能力迈出了重要一步。 Grok3作为一款功能强大的工具,适用于数据提取、代码编写、文本摘要等任务,广泛服务于金融、医疗、法律和科学等行业。 由xAI开发的Grok3旨在提供卓越的推理和编码性能,具备实时更新的特性,摆脱了固定知识截止日期的限制,与GPT-4o和DeepSeek v3等模型形成鲜明对比。
5/20/2025 10:01:11 AM
AI在线

谷歌 Fluid 颠覆共识:两大因素被发现,AI 文生图领域自回归模型超越扩散模型

科技媒体 The Decoder 昨日(10 月 22 日)发布博文,报道称谷歌 DeepMind 团队携手麻省理工学院(MIT),推出了全新的“Fluid”模型,在规模达到 105 亿参数时候,能取得最佳的文生图效果。 目前在文生图领域,行业内的一个共识是自回归模型(Autoregressive Models)不如扩散模型(Diffusion Models)。 AI在线简要介绍下这两种模型:扩散模型 (Diffusion Models): 这是一种最近非常热门的内容生成技术,它模拟的是信号从噪声中逐渐恢复的过程。
10/23/2024 1:35:00 PM
故渊

微软 GitHub 推出 Models 服务:定位 AI 工程师,让开发者试用和部署模型

感谢微软旗下代码托管平台 GitHub 最新推出了 GitHub Models 服务,定位是新一代 AI 工程师,帮助开发者选择适合其应用的 AI 模型。GitHub 在官方新闻稿中表示,GitHub Models 将服务该平台 1 亿多用户,为其提供业界领先的大语言模型(LLM)或者小语言模型(SLM)。 AI在线注:GitHub Models 服务目前处于限量公测阶段,可以对接 OpenAI 的 GPT-4o 和 GPT-4o mini、微软的 Phi 3、Meta 的 Llama 3.1 以及 Mistral
8/2/2024 10:50:52 AM
故渊
  • 1