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2026-09-02
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RSS 公开元数据:ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT。Company size: SMB Region: North America Industry: Media, Entertainment & Sport Results 7 hours Saved per week on event listing reviews Results 3 days > 3 hours To complete merchandise inventorying and reorder Results 1,223% Increase in OpenAI search and user-bot hits Loading… Share Helping fans find accurate event information Helping fans find accurate event information Using inventory photos to make a merchandise plan Becoming her own CMO, and growing with AEO Turning days of work into minutes with ChatGPT Work Helping fans find accurate event information Using inventory photos to make a merchandise plan Becoming he... 来源:RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据:BenchMIRT: What are LLM benchmarks actually measuring?。:last-child]:mb-0"> 📄 Tech Report: http://allenai.org/papers/benchmirt | 📊 Data: https://huggingface.co/collections/allenai/benchmirt | 💻 Code: https://github.com/allenai/BenchMIRT Today we’re introducing BenchMIRT, a new method for auditing LLM benchmarks at the level of individual prompts—the questions and tasks a model is scored on. A benchmark is usually designed to measure a particular ability, such as safety, general reasoning, or instruction following. But the individual tasks inside it may depend on more than that stated goal. Take BBQ, a benchmark designed to test whether models rely on social stereotypes. One ques... 来源:RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据:How AI-native companies turn workflows into operating capability。Loading… Share Basis: Make onboarding teachable with agents Basis: Make onboarding teachable with agents Clay: Give scattered work a persistent home base Exa: Carry an opportunity into tested action Six steps to experiment now and scale what works Basis: Make onboarding teachable with agents Clay: Give scattered work a persistent home base Exa: Carry an opportunity into tested action Six steps to experiment now and scale what works OpenAI’s latest Enterprise Signals shows enterprise AI moving from assistance to execution at sharply different speeds. Frontier firms (those with the top 10% of AI usage) now generate 8.3... 来源:RSSHub。RSSHub public RSS metadata only; no full article body stored.
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