Tag: retrieval
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Simon Willison’s Weblog: q and qv zsh functions for asking questions of websites and YouTube videos with LLM
Source URL: https://simonwillison.net/2024/Dec/19/q-and-qv-zsh-functions/#atom-everything Source: Simon Willison’s Weblog Title: q and qv zsh functions for asking questions of websites and YouTube videos with LLM Feedly Summary: q and qv zsh functions for asking questions of websites and YouTube videos with LLM Spotted these in David Gasquez’s zshrc dotfiles: two shell functions that use my LLM tool…
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Cloud Blog: How Memorystore helps FanCode stream 2X more live sports
Source URL: https://cloud.google.com/blog/products/databases/fancode-migrates-from-aws-to-memorystore-for-redis-cluster/ Source: Cloud Blog Title: How Memorystore helps FanCode stream 2X more live sports Feedly Summary: Editor’s note: FanCode needed to deliver low-latency, personalized sports content to millions of fans while scaling rapidly. By migrating to Google Cloud and adopting Memorystore for Redis Cluster, FanCode built a fully integrated, scalable backend infrastructure that…
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Simon Willison’s Weblog: Quoting Riley Goodside
Source URL: https://simonwillison.net/2024/Dec/14/riley-goodside/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Riley Goodside Feedly Summary: An LLM knows every work of Shakespeare but can’t say which it read first. In this material sense a model hasn’t read at all. To read is to think. Only at inference is there space for serendipitous inspiration, which is why LLMs…
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Hacker News: Show HN: DataFuel.dev – Turn websites into LLM-ready data
Source URL: https://www.datafuel.dev/ Source: Hacker News Title: Show HN: DataFuel.dev – Turn websites into LLM-ready data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text is highly relevant to the categories of LLM Security and MLOps as it discusses a platform that converts web content into datasets prepared for Large Language Models (LLMs).…