Search results for "large-scale"
Found 13 results (11 tools · 2 articles · 0 skills). Sorted by relevance by SeoAIu.
AI Tools (11)
FlagEval: The internationally authoritative large model evaluation system and Libra open platform
252FlagEval (Libra) is a large-scale model evaluation system and open platform initiated by Beijing Zhiyuan Artificial Intelligence Research Institute, aiming to establish scientific, fair, and open evaluation benchmarks and methods. The platform has innovatively constructed a three-dimensional
2026-05-31CMMLU: Authoritative Chinese Language Model Knowledge Understanding Ability Evaluation Benchmark
194CMMLU (Chinese Massive Multitask Language Understanding) is a large-scale language understanding benchmark designed specifically for the Chinese language context, covering 67 subject topics from beginner to advanced professional levels, including natural sciences, social sciences, engineering
2026-05-30MMLU: The International Authoritative Benchmark for Multi Task Language Understanding Ability of
174MMLU (Massive Multitask Language Understanding) is a large-scale multi task language understanding evaluation dataset jointly released by the University of California, Berkeley and other institutions. It covers 57 disciplinary fields, including humanities, social sciences, natural sciences,
2026-05-31Vocu AI — A domestic large-scale speech model ranked #1 globally on the HuggingFace TTS Arena, capable of infusing AI-generated speech with a human touch and genuine emotion.
118Vocu AI is an AI speech synthesis platform developed in-house by Guangzhou Shuogu Technology; its V3 series models ranked first globally in the Hugging Face TTS Arena blind tests. It offers both instant cloning (requiring a 3-second sample with over 95% similarity) and professional-grade cloning. Supporting more than 30 languages and dialects, the platform delivers precise emotional expression and cinematic-quality performance. API access is available to facilitate efficient integration for developers.
2026-07-11MiTa AI Search – a free AI search engine that thinks and provides references, so you no longer need to flip through hundreds of pages of materials when doing research.
109MetaAI Search is an intelligent search engine launched by Shanghai MetaNet Technology Co., Ltd. based on its self-developed MetaLLM large-scale model. It offers three search modes: concise, in-depth, and research-oriented. It supports searches across the entire web, document libraries, academic resources, podcasts, and more. Search results automatically generate outlines and mind maps, with each result accompanied by references. It incorporates the DeepSeek R1 deep thinking model, supporting a "think first, then search" research mode. It is compatible with web pages, apps, and mini-programs, with a free daily search limit of 100 times. Suitable for students, researchers, and professionals, it transforms information retrieval from "providing links" to "providing direct answers."
2026-07-02360 Smart Drawing – an AI drawing tool equipped with a massive model containing hundreds of billions of parameters, capable of generating thousands of styles with a single click.
98360 Smart Drawing is an AI image creation platform launched by 360 based on its self-developed "360 Brain" large-scale model with hundreds of billions of parameters. Integrating the 360CV large-scale model and multimodal technology, it provides full-scene AI drawing and retouching functions, including text-to-image, image-to-image, doodle-to-image, partial redrawing, AI portrait, and LoRA model training. It has built-in models for thousands of styles, including traditional Chinese style, realistic, animation, and 3D, and supports bilingual (Chinese and English) prompts. As a member of the 360 AI ecosystem, it has been integrated into the entire 360 platform ecosystem.
2026-07-04Cherry Studio – an all-in-one AI workstation, a desktop client that provides unified access to 300+ mainstream large-scale models.
96Cherry Studio is a cross-platform AI desktop client that integrates over 300 mainstream models from OpenAI, Claude, Gemini, and other sources, as well as local Ollam models. It supports intelligent dialogue, autonomous agents, document processing, global search, and other functions, with local data storage for enhanced privacy and security. The community edition is completely free and open-source, supporting Windows, macOS, and Linux.
2026-07-14MiniMax Audio—an ultra-realistic large-scale speech model capable of everything from 10-second voice cloning to support for over 40 languages, enabling AI to speak with the warmth of a real person.
88MiniMax Audio is an AI voice platform under MiniMax that offers features such as text-to-speech, voice cloning, and music generation. Its proprietary Speech series models support over 40 languages, ultra-long text, emotional expression, and low-latency interaction, and have been adopted by leading global platforms and products such as LiveKit, Pipecat, Gaotu, and Ximalaya.
2026-07-11Bocha – an answer engine and search API designed specifically for the AI era, handling over 60% of the online search requests for AI applications in China.
79Bocha is an intelligent search engine and answer engine designed specifically for AI applications. It supports natural language queries, directly returning structured answers instead of links, and integrates with several large-scale domestic models such as Tongyi Qianwen and Kimi. It also provides Web Search API and AI Search API, and has become an official online search provider for DeepSeek, as well as a search API officially recommended by Alibaba, Tencent, and ByteDance, serving over 3000 enterprise users and 20000+ developers.
2026-07-14Sourcegraph: Code Intelligence Platform for Code Search, AI Assistant & Batch Changes
67Sourcegraph is a Code Intelligence platform that deeply understands your code, no matter how large or where it's hosted. It powers modern developer experiences with Code Search across all branches and code hosts, Deep Search for natural language queries answered by an AI agent, Code Intelligence for navigation and references, Batch Changes for large-scale code modifications across repositories, and the Cody AI coding assistant to read, write, and understand your entire codebase faster.
2026-07-17Lianqi AI—an AI-powered business search engine that makes corporate inquiries and business opportunity discovery smarter.
67Lianqi AI is an AI-powered business search tool offering services such as corporate information lookup, industry analysis, tender opportunity discovery, and AI-driven content generation. Powered by a large-scale model with hundreds of billions of parameters and a proprietary vertical model named "Jianwei Zhizhu" (Insight from Details), it is dedicated to providing efficient and precise information support for business decision-making.
2026-07-14AI News (2)
OpenAI's GPT-5.6 series preview remains in internal testing, with proprietary inference chips set for mass production by year-end.
281OpenAI is officially advancing the limited beta testing of its GPT-5.6 model series and has announced a partnership with Broadcom to co-develop "Jalapeño," a dedicated inference ASIC. The project targets tape-out within nine months and large-scale deployment by the end of 2026, aiming to slash inference costs by 50% and effectively completing the company's vertically integrated strategy combining models and chips.
An In-Depth Review by the Former COO of Zhipu AI: Deconstructing Five Common Pitfalls in Enterprise AI Implementation and Breaking the Deadlock of Stalled Deployment
31Zhang Fan, former COO of Zhipu AI and founder of Yuanli AI, draws on extensive experience serving government and enterprise clients to identify five common pitfalls in corporate AI implementation: impressive demos that fail upon official launch; "bottomless pit" fully customized deliveries that derail projects; project initiation based on subjective, unrealistic expectations of returns; a focus on technical deployment while neglecting business process re-engineering; and AI projects getting stuck in pilot phases without achieving large-scale rollout. These issues stem from three fundamental misconceptions: general-purpose large models do not equate to enterprise business capabilities; technical feasibility does not guarantee commercial returns; and success in a localized pilot does not ensure replicability across the entire organization. To address this, he proposes a progressive implementation roadmap—moving from conversational assistants and business support tools to automated workflows, AI agents, and finally, business operating systems—emphasizing the need to refine reusable business templates before scaling up to a company-wide rollout.