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Update index.json
add more timecodes
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  • content/videos/livestreams/sentence-embeddings/clustering-sentence-embeddings

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content/videos/livestreams/sentence-embeddings/clustering-sentence-embeddings/index.json

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"topics": ["transformers", "embeddings"],
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"canContribute": false,
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"timestamps": [
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{ "time": "0:00", "title": "Livestream starts" },
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{ "time": "6:10", "title": "Welcome" },
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{ "time": "10:46", "title": "Programming with text" },
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{ "time": "20:55", "title": "save embeddigs.json repo" },
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{ "time": "31:29", "title": "What is an embedding?" },
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{ "time": "38:45", "title": "Feature extraction" },
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{ "time": "47:31", "title": "Retrieval augmented Generation" },
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{ "time": "57:42", "title": "Transformers.js and ONNX" }
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{ "time": "0:00:00", "title": "Livestream starts" },
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{ "time": "0:06:10", "title": "Welcome" },
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{ "time": "0:10:46", "title": "Programming with text" },
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{ "time": "0:20:55", "title": "save embeddigs.json repo" },
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{ "time": "0:31:29", "title": "What is an embedding?" },
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{ "time": "0:38:45", "title": "Feature extraction" },
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{ "time": "0:47:31", "title": "Retrieval augmented Generation" },
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{ "time": "0:57:42", "title": "Transformers.js and ONNX" },
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{ "time": "0:59:22", "title": "Initialize new node project" },
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{ "time": "1:02:05", "title": "Pipelines" },
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{ "time": "1:04:15", "title": "Load model function" },
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{ "time": "1:08:03", "title": "Remove async" },
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{ "time": "1:11:29", "title": "Corpora" }
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],
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"codeExamples": [
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{
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"title": "ONNX Runtime",
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"url": "https://onnxruntime.ai/docs/tutorials/web/",
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"description": "Tutorial that explains how to run a machine learning model in the brower using ONNX."
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},
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{
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"icon": "",
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"title": "Corpora",
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"url": "https://github.com/dariusk/corpora",
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"description": "Corpora is a repository of JSON files."
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},
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{
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"icon": "",
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"title": "tv_shows.json",
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"url": "https://github.com/dariusk/corpora/blob/master/data/film-tv/tv_shows.json",
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"description": "JSON file with a list of 1000 tv shows"
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}
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]
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},

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