Search results for "large-scale"

FlagEval: The internationally authoritative large model evaluation system and Libra open platform

FlagEval (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

CMMLU: Authoritative Chinese Language Model Knowledge Understanding Ability Evaluation Benchmark

CMMLU (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

MMLU: The International Authoritative Benchmark for Multi Task Language Understanding Ability of

MMLU (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,

MiTa 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.

MetaAI 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."

OpenAI's GPT-5.6 series preview remains in internal testing, with proprietary inference chips set for mass production by year-end.

OpenAI 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.