At Rag & Bone, one of Jennie McCormick and her team’s missions is to create clothing that not only fits well, but also has great hanger appeal. It’s probably why Rag & Bone’s popularity hasn’t waned ...

Page Six may be compensated and/or receive an affiliate commission if you click or buy through our links. Featured pricing is subject to change. Now that’s a genius — or should we say, a jean-ius? — ...

How Eija Rasinmaki reinvented a humble tradition for the modern world. By Aino Frilander Reporting from Helsinki, Finland Unlike many birthplaces of groundbreaking designs, Eija Rasinmaki’s weaving ...

There isn’t a week that goes by when I’m not wearing Rag & Bone’s Miramar sweatpant jeans. Since discovering them last year, they’ve become a mainstay in my closet (I own four pairs now) because they ...

RAG can make your AI analytics way smarter — but only if your data’s clean, your prompts sharp and your setup solid. The arrival of generative AI-enhanced business intelligence (GenBI) for enterprise ...

AI solves everything. Well, it might do one day, but for now, claims being lambasted around in this direction may be a little overblown in places, with some of the discussion perhaps only (sometimes ...

Unlike many other designers, Jennie McCormick and her team at Rag & Bone are focused less on making buzzy statement clothes but more about the real-life essentials. And that’s perhaps what keeps Rag & ...

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General purpose AI tools like ChatGPT often require extensive training and fine-tuning to create reliably high-quality output for specialist and domain-specific tasks. And public models’ scopes are ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Though Retrieval-Augmented Generation has been hailed — and hyped — as the answer to generative AI's hallucinations and misfires, it has some flaws of its own. Retrieval-Augmented Generation (RAG) — a ...