Search results for "question"
Found 6 results (5 tools · 1 articles · 0 skills). Sorted by relevance by .
AI Tools (5)
PromptPilot: A professional prompt optimization and automation tuning platform for AI instruction
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PromptPilot is a systematic prompt word engineering platform launched by Volcano Engine, aimed at addressing the pain point of "how to efficiently ask AI questions". It provides full lifecycle management covering Prompt generation, debugging, evaluation, and iteration, supports one click rewriting
2026-05-30Zhihu Direct Answer: DeepSeeker R1 driven Content Community AI Search Engine and Professional
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Zhihu Direct Answer is an intelligent search question and answer product launched by Zhihu based on the deep integration of community creator question and answer data and top AI models. The platform deeply integrates Zhihu's high-quality Chinese Q&A content library that has been accumulated for
2026-06-03Alibaba's M6—the world's first 10 trillion-parameter multimodal large model—consumes only 1% of the energy of GPT-3.
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M6 is a general-purpose multimodal large model developed by Alibaba DAMO Academy. In October 2021, it became the world's first AI pre-trained model with 10 trillion parameters. Based on the self-developed Whale distributed framework, it was trained in just 10 days using only 512 V100 GPUs, with energy consumption only 1% of GPT-3. It supports tasks such as image and text generation, visual question answering, and poetry creation, and has been deployed in more than 40 scenarios, including Tmall virtual anchors and Taobao search. It is the core predecessor of the Tongyi Thousand Questions large model.
2026-07-02PubMedQA—an "AI benchmark" specifically designed for biomedical question answering; only by comprehending research papers can an AI truly pass the "Medical Turing Test."
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PubMedQA is the first question-answering dataset requiring reasoning over biomedical research texts; it was released in 2019 by institutions including the University of Pittsburgh. The task involves answering "Yes," "No," or "Maybe" questions based on PubMed abstracts. Comprising 1,000 expert-annotated samples and 211,000 artificially generated ones, the dataset aims to evaluate the ability of AI models to comprehend and reason about complex medical literature. It is widely used to benchmark the performance of large language models in the medical domain.
2026-07-10SuperCLUE—A benchmark for Chinese large models: from foundational capabilities to AI agents, a single test reveals who is "swimming naked."
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SuperCLUE is a comprehensive evaluation benchmark for general-purpose Chinese large models, released by the CLUE team. It provides authoritative, multi-dimensional capability assessments and rankings for Chinese large models by regularly publishing monthly and semi-annual reports based on three key benchmarks—open-domain multi-turn dialogue, closed-domain objective questions, and anonymous head-to-head battles—as well as dimensions such as mathematical reasoning, code generation, and AI agents.
2026-07-10